Podcasts about Semantic Web

On this episode of the Crazy Wisdom Podcast, host Stewart Alsop welcomes Jessica Talisman, a senior information architect deeply immersed in the worlds of taxonomy, ontology, and knowledge management. The conversation spans the evolution of libraries, the shifting nature of public and private access to knowledge, and the role of institutions like the Internet Archive in preserving digital history. They also explore the fragility of information in the digital age, the ongoing battle over access to knowledge, and how AI is shaping—and being shaped by—structured data and knowledge graphs. To connect with Jessica Talisman, you can reach her via LinkedIn.  Check out this GPT we trained on the conversation!Timestamps00:05 – Libraries, Democracy, Public vs. Private Knowledge Jessica explains how libraries have historically shifted between public and private control, shaping access to knowledge and democracy.00:10 – Internet Archive, Cyberattacks, Digital Preservation Stewart describes visiting the Internet Archive post-cyberattack, sparking a discussion on threats to digital preservation and free information.00:15 – AI, Structured Data, Ontologies, NIH, PubMed Jessica breaks down how AI trains on structured data from sources like NIH and PubMed but often lacks alignment with authoritative knowledge.00:20 – Linked Data, Knowledge Graphs, Semantic Web, Tim Berners-Lee They explore how linked data enables machines to understand connections between knowledge, referencing the vision behind the semantic web.00:25 – Entity Management, Cataloging, Provenance, Authority Jessica explains how libraries are transitioning from cataloging books to managing entities, ensuring provenance and verifiable knowledge.00:30 – Digital Dark Ages, Knowledge Loss, Corporate Control Stewart compares today's deletion of digital content to historical knowledge loss, warning about the fragility of digital memory.00:35 – War on Truth, Book Bans, Algorithmic Bias, Censorship They discuss how knowledge suppression—from book bans to algorithmic censorship—threatens free access to information.00:40 – AI, Search Engines, Metadata, Schema.org, RDF Jessica highlights how AI and search engines depend on structured metadata but often fail to prioritize authoritative sources.00:45 – Power Over Knowledge, Open vs. Closed Systems, AI Ethics They debate the battle between corporations, governments, and open-source efforts to control how knowledge is structured and accessed.00:50 – Librarians, AI Misinformation, Knowledge Organization Jessica emphasizes that librarians and structured knowledge systems are essential in combating misinformation in AI.00:55 – Future of Digital Memory, AI, Ethics, Information Access They reflect on whether AI and linked data will expand knowledge access or accelerate digital decay and misinformation.Key InsightsThe Evolution of Libraries Reflects Power Struggles Over Knowledge: Libraries have historically oscillated between being public and private institutions, reflecting broader societal shifts in who controls access to knowledge. Jessica Talisman highlights how figures like Andrew Carnegie helped establish the modern public library system, reinforcing libraries as democratic spaces where information is accessible to all. However, she also notes that as knowledge becomes digitized, new battles emerge over who owns and controls digital information​​.The Internet Archive Faces Systematic Attacks on Knowledge: Stewart Alsop shares his firsthand experience visiting the Internet Archive just after it had suffered a major cyberattack. This incident is part of a larger trend in which libraries and knowledge repositories worldwide, including those in Canada, have been targeted. The conversation raises concerns that these attacks are not random but part of a broader, well-funded effort to undermine access to information​​.AI and Knowledge Graphs Are Deeply Intertwined: AI systems, particularly large language models (LLMs), rely on structured data sources such as knowledge graphs, ontologies, and linked data. Talisman explains how institutions like the NIH and PubMed provide openly available, structured knowledge that AI systems train on. Yet, she points out a critical gap—AI often lacks alignment with real-world, authoritative sources, which leads to inaccuracies in machine-generated knowledge​​.Libraries Are Moving From Cataloging to Entity Management: Traditional library systems were built around cataloging books and documents, but modern libraries are transitioning toward entity management, which organizes knowledge in a way that allows for more dynamic connections. Linked data and knowledge graphs enable this shift, making it easier to navigate vast repositories of information while maintaining provenance and authority​​.The War on Truth and Information Is Accelerating: The episode touches on the increasing threats to truth and reliable information, from book bans to algorithmic suppression of knowledge. Talisman underscores the crucial role librarians play in preserving access to primary sources and maintaining records of historical truth. As AI becomes more prominent in knowledge dissemination, the need for robust, verifiable sources becomes even more urgent​​.Linked Data is the Foundation of Digital Knowledge: The conversation explores how linked data protocols, such as those championed by Tim Berners-Lee, allow machines and AI to interpret and connect information across the web. Talisman explains that institutions like NIH publish their taxonomies in RDF format, making them accessible as structured, authoritative sources. However, many organizations fail to leverage this interconnected data, leading to inefficiencies in knowledge management​​.Preserving Digital Memory is a Civilization-Defining Challenge: In the digital age, the loss of information is more severe than ever. Alsop compares the current state of digital impermanence to the Dark Ages, where crucial knowledge risks disappearing due to corporate decisions, cyberattacks, and lack of preservation infrastructure. Talisman agrees, emphasizing that digital archives like the Internet Archive, WorldCat, and Wikimedia are foundational to maintaining a collective human memory​​.

Hong Minhee is an open source developer and the creator of the Fedify ActivityPub server framework. We talk about how applications like Mastodon and Misskey communicate with one another using ActivityPub. This includes discussions on built-in activites, extending the specification in a backwards compatible way, difficulties implementing JSON-LD, the inbox model, and his experience implementing the specification. Hong Minhee: activitypub profile fedify hollo Specifications: ActivityPub W3C specification JSON Linked Data Resource Description Framework W3C Semantic Web Standards ActivityPub and WebFinger ActivityPub and HTTP Signatures ActivityPub implementations: Mastodon Misskey Akkoma Pleroma Pixelfed Lemmy Loops GoToSocial ActivityPub support in Ghost Threads has entered the Fediverse ActivityPub tools: ActivityPub Academy BrowserPub fedify CLI -- Transcript You can help correct transcripts on GitHub. What's ActivityPub? [00:00:00] Jeremy: Today, I'm talking to Hong Minhee. He is the developer of Fedify. A TypeScript library for building ActivityPub server applications. The first thing I think we should start with is defining ActivityPub. what is ActivityPub? [00:00:16] Hong: ActivityPub is the protocol that lets social networks talk to each other and it's officially recommended by W3C. It's what powers this thing we call the Fediverse which is basically a way for different social media platforms to work together. Users of ActivityPub [00:00:39] Jeremy: Can you give some examples that people might have heard of -- either users of ActivityPub or things that are a part of this fediverse? [00:00:50] Hong: Mastodon is probably the biggest one out there. And you know what's interesting? Meta threads has actually started implementing ActivityPub this summer. So this still pretty much a one way street right now. In East Asia, especially Japan, there's this really popular microblogging platform called misskey. It's got so many forks that people actually joke around and called them forkeys. but it's not just about Twitter style microblogging, there's Pixelfed which is kind of like Instagram, but for the fediverse. And those same folks recently launched loops. Which is basically doing what TikTok does, but in the Fediverse. Then you've got stuff like Lemmy and which are doing the reddit thing up in the Fediverse. [00:02:00] Jeremy: Oh like Reddit. [00:02:01] Hong: Yeah. There are so much more out there that I haven't even mentioned. Um, most of it is open source, which is pretty cool. [00:02:13] Jeremy: So the first few examples you gave, Mastodon and Meta's threads, they're very similar to, to Twitter, right? So that's what you were calling the, the Microblogging applications. And I think what you had said, which is a little bit interesting is you had said Metas threads is only one way. So could you kind of describe like what you mean by that? [00:02:37] Hong: Currently meta threads only can be followed by other ActivityPub applications but you cannot follow other people in the fediverse. [00:02:55] Jeremy: People who are using another Microblogging platform like Mastodon can follow someone on Meta's Threads platform. But the other way is not true. If you're on threads, you can't follow someone on Mastodon. [00:03:07] Hong: Yes, that's right. [00:03:09] Jeremy: And that's not a limitation of the protocol itself. That's a design decision or a decision made by Meta. [00:03:17] Hong: Yeah. They are slowly implementing ActivityPub and I hope they will implement complete ActivityPub in the future. Interoperability through Activities [00:03:27] Jeremy: And then the other examples you gave, one is I believe it was Pixel Fed is very similar to Instagram. And then the last examples you gave was I think it was Lemmy, you said it's similar to Reddit. Because you mentioned the term Fediverse before and you mentioned that these all use ActivityPub and since these seem like different kinds of applications, what does it mean for them to interact? Because with Mastodon and Threads I can kind of understand because they're both similar to Twitter. So you're posting messages and replying, but, but what does it mean, for example, for someone on Mastodon to interact with someone on Lemmy which is like Reddit because they seem very different. [00:04:16] Hong: People in Lemmy and Mastodon are called actors and can follow each other. They have interactions between them called activities. And there are several types of activities like, create and follow and undo, like, and so on. So, ActivityPub applications tend to, use these vocabulary to implement their features. So, for example, Lemmy uses like activities for upvoting and like activities for down voting and it's translated to likes in Mastodon. So if you submit a post on Lemmy and it shows up on your Mastodon timeline. If you like that post (it) is upvoting in Lemmy. [00:05:36] Jeremy: And probably similarly with Pixelfed, which you said is like Instagram, if you follow someone's Pixelfed account in Mastodon and they post a photo in Pixel Fed, they would see it as a post in Mastodon natively and they could give it a like there. Adding activities or properties [00:05:56] Jeremy: And these activities that you mentioned -- So the like and the dislike are those part of ActivityPub itself? [00:06:05] Hong: Yes, and this vocabulary can be extended. [00:06:10] Jeremy: So you can add, additional actions (activities) or are you adding information (properties) to the existing actions? [00:06:37] Hong: It is called activity vocabulary, and there are, things like accept, add, arrive, block, create lead, dislike, flag, follow, ignore invite, join, and so on. So, basically, almost everything you need to build social media is already there in the vocabulary, but if you want to extend some more, you can define your, own vocabulary. [00:06:56] Jeremy: Most of the things that an Instagram or a Twitter, or a Reddit would need is already there. But you're saying that you can have your own vocabulary. So if there's an action or an activity that is not covered by the specification, you can create one yourself. [00:07:13] Hong: Yes. For example, Misskey and Pleroma defined emoji reactor to represent emoji reactions. [00:07:25] Jeremy: Because the systems can extend the vocabulary. What are some other examples of cases where mastodon or any other of these systems has found that the existing vocabulary is not enough. What are some other examples of applications extending it? [00:07:45] Hong: For example, uh, mastodon defined suspended -- suspended property. They are not activities, but they are properties in the activity. ActivityPub consists of several types of objects and there are activities and normal objects like, article. they can have properties and there are several existing properties, but they can be also extended. So Mastodon extended some properties they need. So for example, they define suspended or discoverable. [00:08:44] Hong: Suspended for to tell if an actor is suspended by moderators. Discoverable tells if an actor itself wants to be, searched and indexed, and there are much more properties. Mastodon extended. Actors [00:09:12] Jeremy: And these are, these are properties of the actor. These are properties of the user? [00:09:19] Hong: Yes. Actors. [00:09:21] Jeremy: Cause I think earlier you mentioned that. The concept of a user is an actor, and it sounds like what you're saying is an actor can have all these properties. There's probably a, a username and things like that, but Mastodon has extended the properties so that, you can have a property on whether you wanna be searched or indexed you can have a property that says you're suspended. So I guess your account, is still there, but can't be used anymore. Something we should probably talk about then is, so you have these actors, you have these activities that I'm assuming the actors are performing on one another. What does that data look like and what does the communication look like? [00:10:09] Hong: Actors have their own dereferencable URI and when you look up that URI you get all the info about the actor in JSON-LD format [00:10:22] Jeremy: JSON-LD? [00:10:23] Hong: Yeah. JSON-LD. linked data. (The) Actor has all the stuff you expect to find on a social account name, bio URL to the profile page, profile picture, head image and more. And there are five main types of actors: application, group, organization, person and service. And you know how sometimes on Mastodon you will see an account marked as a bot? [00:10:58] Jeremy: A bot? [00:10:59] Hong: Yeah. Bot and that's what an actor of type service looks like. And the ActivityPub spec actually let you create other types beyond these five. But I haven't seen anyone actually do that yet. JSON-LD [00:11:15] Jeremy: And you mentioned that these are all JSON objects. but the LD part, the linked data part, I'm not familiar with. So what different about the linked data part of the JSON? [00:11:31] Hong: So JSON-LD is the special way of writing RDF. Which was originally used in the semantic web. Usually RDF uses (a) format (that) is called triples. [00:11:48] Jeremy: Triples? [00:11:49] Hong: Yeah, subject and predicate and object. [00:11:55] Jeremy: Subject, predicate, object. Can you give an example of what those three would be? [00:12:00] Hong: For example, is a person, it's a triple. John is a subject and is a predicate [00:12:11] Jeremy: is, is the predicate. [00:12:12] Hong: Okay. And person is a object. That's great for showing how things are connected, but it is pretty different from how we usually handle data in REST for APIs and stuff. Like normally we say a personal object has property like name, DOB, bio, and so on. And a bunch of subject predicated object triples that's where JSON-LD comes in -- is designed to look more like the JSON we are used to working with, while still being able to represent RDF Graphs. RDF graph are ontology. It's a way to represent factual data, but is, quite different from, how we represent data in relational database. And it's a bunch of triples each subject and objects are nodes and predicates connect these nodes. Semantic Web [00:13:30] Jeremy: You mentioned the Semantic web, what does that mean? What is the semantic web? [00:13:35] Hong: It's a way to represent web in the structural way, is machine readable so that you can, scan the data in the web, using scrapers or crawlers. [00:13:52] Jeremy: Scrapers -- or what was the second one? Crawling. [00:13:59] Hong: Yeah. Then you can have graph data of web and you can, query information about things from the data. [00:14:14] Jeremy: So is the web as it exists now, is that the Semantic web or is it something different? [00:14:24] Hong: I think it is partially semantic web, you have several metadata in Your HTML. For example, there are several specification for semantic web, like, OpenGraph metadata. [00:14:32] Jeremy: Cause when I think about OpenGraph, I think about the metadata on a webpage that, that tells other applications or websites that if you link to this page: show this image or show this title and description. You're saying that specifically you consider part of the semantic web? [00:15:05] Hong: That's, semantic web. To make your website semantic web. Your website should be able to, provide structural data. And other people can make Scrapers to scan, structural data from your website. There are a bunch of attributes and text for HTML to represent metadata. For example you have relation attribute rel so if you have a link with rel=me to your another social profile. Then other people can tell two web pages represent the same person. [00:16:10] Jeremy: Oh, I see. So you could have more than one website. Maybe one is your blog and maybe one is your favorite birds or something like that. But you could put a rel tag with information about you as a person so that someone who scrapes both websites could look at that tag and see that both of these websites are by, Hong, by this person. JSON-LD is difficult to implement and not used as intended [00:16:43] Hong: Yeah. I think JSON-LD is, designed for semantic web, but in reality, ActivityPub implementations, most of them are, not aware of semantic web. [00:17:01] Jeremy: The choice of JSON Linked Data, the JSON-LD, by the people who made the specification -- They had this idea that things that implemented ActivityPub would be a part of this semantic web, but the actual implementation of a Mastodon or a Pixelfed, they use JSON-LD because it's part of the specification, but the way they use it, it ends up not really being a part of this semantic web. [00:17:34] Hong: Yeah, that's exactly.. [00:17:37] Jeremy: You've mentioned that implementing it is difficult. What makes implementing JSON LD particularly hard? [00:17:48] Hong: The JSON-LD is quite complex. Which is why a lot of programming language don't even have JSON-LD implementations and it's pretty slow compared to just working with the regular JSON. So, what happens is a lot of ActivityPub implementations just treat JSON-LD like (it) is regular JSON without using a proper JSON-LD processor. You can do that, but it creates a source of headache. In JSON-LD there are weird equivalences like if a property is missing or if it's an empty array, that means the same thing. Or if a property has one value versus an array with just that one value in it, same thing. So when you are writing code to parse JSON-LD, you've got to keep checking if something's an array how long it is and all that is super easy to mess up. It's not just reading JSON-LD that's tricky. Creating it is just as bad. Like you might forget to include the right context metadata for a vocabulary and end up with a JSON-LD document that's either invalid or means something totally different from what you wanted. Even the big ActivityPub implementations mess this up pretty often. With Fedify we've got a JSON-LD processor built in and we keep running into issues where major ActivityPub implementations create invalidate JSON-LD. We've had to create workaround for all of them, but it's not pretty and causes kind of a mess. [00:19:52] Jeremy: Even though there is a specification for JSON-LD, it sounds like the implementers don't necessarily follow it. So you are kind of parsing JSON-LD, but not really. You're parsing something that. Looks like JSON-LD, but isn't quite it. [00:20:12] Hong: Yes, that's right. [00:20:14] Jeremy: And is that true in the, the biggest implementations, Mastodon, for example, are there things that it sends in its activities that aren't valid JSON-LD? [00:20:26] Hong: Those implementations that had bad JSON-LD tends to fix them soon as a possible. But regressions are so often made. Yeah. [00:20:45] Jeremy: Even within Mastodon, which is probably one of the largest implementers of ActivityPub, there are cases where it's not valid, JSON-LD and somebody fixes it. But then later on there are other messages or other activities that were valid, but aren't valid anymore. And so it's this, it's this back and forth of fixing them and causing new issues it sounds ... [00:21:15] Hong: Yeah. Yeah. Right. [00:21:17] Jeremy: Yeah. That sounds very difficult to deal with. How instances communicate (Inbox) [00:21:20] Jeremy: We've been talking about the messages themselves are this special format of JSON that's very particular. but how do these instances communicate with one another? [00:21:32] Hong: Most of time, it all starts with a follow. Like when John follows Alice, then Alice adds both John and John's inbox URI to her followers list, and after John follows Alice, Whenever Alice posts something new that activities get sent to John's inbox behind the scenes. This is just one HTTP post request. Even though ActivityPub is built on HTTP. It doesn't really care about the HTTP response beyond did it work or not. If you want to reply to an activity, you need to figure out the standard inbox, URI and send or reply activity there. [00:22:27] Jeremy: If we define all the terms, there's the actor, which is the person, each actor can send different activities. those activities are in the form of a JSON linked data. [00:22:40] Hong: Yeah. [00:22:42] Jeremy: And everybody has an inbox. And an inbox is an HTTP URL that people post to. [00:22:50] Hong: Right. [00:22:52] Jeremy: And so when you think about that, you had mentioned that if you have a list of followers, let's say you have a hundred followers, would that mean that you have the URLs to all hundred of those follower's inboxes and that you would send one HTTP post to each inbox every time you had a new message? [00:23:16] Hong: Pretty much all ActivityPub implementations have, a thing called shared inbox, it's exactly what it sounds like. One inbox that all actors on a server share. Private stuff like DMs don't go there (it) is just for public posts and thoughts. [00:23:36] Jeremy: I think we haven't really talked about the fact that, when you have multiple users, usually they're on a server, right? That somebody chooses. So you could have tens of thousands, I don't know how many people can fit on the same server. But, rather than, you having to post to each user individually, you can post to the shared inbox on this server. So let's say, of your 100 followers, 50 them are on the same server, and you have a new post, you only need to post to the shared inbox once. [00:24:16] Hong: Yes, that's right. [00:24:18] Jeremy: And in that message you would I assume have links to each of the profiles or actors that you wanted to send that message to. [00:24:30] Hong: Yeah. Scaling challenges [00:24:31] Jeremy: Something that I've seen in the past is there are people who have challenges with scaling. Their Mastodon instance or their implementations of ActivityPub. As the, the number of followers grow, I've seen a post about, ghost one of the companies you work with mentioning that they've had challenges there. What are the challenges there and, and how do you think those can be resolved? [00:25:04] Hong: To put this in context, when Ghost mentioned the scaling, they were not using Message Queue yet. I'm pretty sure using Message Queue would help a lot of their scaling problems. That said it is definitely true that a lot of activity post software has trouble with scaling right now. I think part of the problem is that everyone's using this purely event driven approach to sending activities around. One of the big issues is that when their delivery fails it's the sender who has to retry and not the receiver. Plus there's all this overhead because the sender has to authenticate itself with HTTP signatures every time. Actually the ActivityPub spec suggests using polling too so I'd love to see more ActivityPub software try using both approaches together. [00:26:16] Jeremy: You mean the followers would poll who they're following instead of the person posting the messages having to send their posts to everyone's inboxes. [00:26:29] Hong: Yeah. [00:26:29] Jeremy: I see. So that's a part of the ActivityPubs specification, but not implemented in a lot of ActivityPub implementations, And so it sounds like maybe that puts a lot of burden on the servers that have people with a lot of followers because they have to post to every single, follower server and maybe the server is slow or they can't reach it. And like you said, they have to just keep trying and trying. There could be a lot of challenges there. [00:27:09] Hong: Right. Account migration [00:27:10] Jeremy: We've talked a little bit about the fact that each person each actor is hosted by a server and those servers can host multiple actors. But if you want to move to another server either because your server is shutting down or you just would like to change servers, what are some of the challenges there? [00:27:38] Hong: ActivityPub and Fediverse already have the specification for an account move. It's called FEP-7628 Move Actor. First thing you need to do when moving an account is prove that both the old and new accounts belong to the same person. You do this by adding the all accounts, add the URI to the new account's AlsoKnownAs property. And then the old account contacts all the other instances it's moving by sending out a move activity. When a server gets this move activity, it checks that both accounts really do belong to the same parts, and then it makes all the accounts that, uh, were following the, all the accounts start to, following the new one instead. that's how the new account gets to keep all the, all the accounts follow us. pretty much all, all the major activity post software has this feature built in, for example, Mastodon Misskey you name it. [00:29:04] Jeremy: This is very similar to the post where when you execute a move, the server that originally hosted that actor, they need to somehow tell every single other server that was following that account that you've moved. And so if there's any issues with communicating with one of those servers, or you miss one, then it just won't recognize that you've moved. You have to make sure that you talk to every single server. [00:29:36] Hong: That's right. [00:29:38] Jeremy: I could see how that could be a difficult problem sometimes if you have a lot of followers. [00:29:45] Hong: Yeah. Fedify [00:29:46] Jeremy: You've created a TypeScript library Fedify for building ActivityPub powered applications. What was the reason you decided to create Fedify? [00:29:58] Hong: Fedify is (a) ActivityPub servers framework I built for TypeScript. It basically takes away a lot of headaches you'd get trying to implement (an) ActivityPub server from scratch. The whole thing started because I wanted to build hollo -- A single user microblogging platform I built. But when I tried, to implement ActivityPub from (the) ground up it was kind of a nightmare. Imagine trying to write a CGI program in Perl or C back in the late nineties, where you are manually printing, HTTP headers and HTML as bias. there just wasn't any good abstraction layer to go with. There were already some libraries and frameworks for ActivityPub out there but none of them really hit the sweet spot I was looking for. They were either too high level and rigid. Like you could only build a mastodon clone or they barely did anything at all. Or they were written in languages I didn't really know. Ghost and Fedify [00:31:24] Jeremy: I saw that you are doing some work with, ghost. How is Ghost using fedify? [00:31:30] Hong: Ghost is an open source publishing platform. They have put some money into fedify which is why I get to work on it full time now. Their ActivityPub feature is still in private beta but it should be available to everyone pretty soon. We work together to improve fedify. Basically they are a user of fedify. They report bugs request new features to fedify then I fix them or implement them, first. [00:32:16] Jeremy: Ghost to my understanding is a blogging platform and a a newsletter platform. So what does it mean for them to implement ActivityPub? What would somebody using Mastodon, for example, get when they follow somebody using Ghost? [00:32:38] Hong: Ghost will have a fediverse handle for each blog. If you follow them in your mastodon or something (similar) then a new post is published. These post will show up (in) your timeline in Mastodon and you can like them or share them. Andin the dashboard of Ghost you can see who liked their posts or shared their posts and so on. It is like how mastodon works but in Ghost. [00:33:26] Jeremy: I see. So if you are writing a ghost blog and somebody follows your blog from Mastodon, sort of like we were talking about earlier, they can like your post, and on the blog itself you could show, oh, I have 200 likes. And those aren't necessarily people who were on your ghost website, they could be people that were liking your post from Mastodon. [00:33:58] Hong: Yes. Misskey / Forkey development in Asia [00:34:00] Jeremy: Something you mentioned at the beginning was there is a community of developers in Asia making forks of I believe of Mastodon, right? [00:34:13] Hong: Yeah. [00:34:14] Jeremy: Do you have experience working in that development community? What's different about it compared to the more Western centric community? [00:34:24] Hong: They are very similar in most ways. The key difference is language of course. They communicate in Japanese primarily. They also accept pull requests with English. But there are tons of comments in Japanese in their code. So you need to translate them into English or your first language to understand what code does. So I think that makes a barrier for Western developers. In fact, many Western developers that contribute to misskey or forkey are able to speak a little Japanese. And many of the developers of misskey and forkey are kind of otaku. [00:35:31] Jeremy: Oh otaku okay. [00:35:33] Hong: It's not a big deal, but you can see (the) difference in a glance. [00:35:41] Jeremy: Yeah. You mentioned one of the things that I believe misskey implemented was the emoji reactions and maybe one of the reasons they wanted that was so that they could react to each other's posts with you know anime pictures or things like that. [00:35:58] Hong: Yeah, that's right. [00:36:01] Jeremy: You've mentioned misskey and forkey. So is misskey a fork of Mastodon and then is forkey a fork of misskey? [00:36:10] Hong: No, misskey is not a fork of mastodon. (It) is built from scratch. It's its own implementation. And forkeys are forks of Mastodon. [00:36:22] Jeremy: Oh, I see. But both of those are primarily built by Japanese developers. [00:36:30] Hong: Yes. Whereas Mastodon (is) written in Ruby. Ruby on Rails. But misskey is built in TypeScript. [00:36:40] Jeremy: And because of ActivityPub -- they all implement it. So you can communicate with people between mastodon and misskey because they all understand the same activities. [00:36:56] Hong: Yes. Backwards compatible activity implementations [00:36:57] Jeremy: You did mention since there are extensions like misskey has the emoji reactions. When there is an activity that an implementation doesn't support what happens between the two servers? Do you send it to a server's inbox and then the server just doesn't do anything with it? [00:37:16] Hong: Some implementers consider backwards compatibility. So they design (it) to work with other implementations that don't support that activity. For example misskey uses like activity for emoji reaction. So if you put an emoji to a Mastodon post then in Mastodon you get one like. So it's intended behavior by misskey developers that they fall back to normal likes. But sometimes ActivityPub implementers introduce entirely new activity types. For example Pleroma introduced the emoji react. And if you put emoji reaction to Mastodon post from Pleroma in Mastodon you have nothing to see because Mastodon just ignores them. [00:38:37] Jeremy: If I understand correctly, both misskey and Pleroma are independent implementations of ActivityPub, but with misskey, they can tell when or their message is backwards compatible where it's if you don't understand the emoji reaction, it'll be embedded inside of a like message. Whereas with Pleroma they send an activity that Mastodon can't understand at all. So it just doesn't do anything. [00:39:11] Hong: Yes, right. But, Misskey also understands (the) emoji react activity. So between pleroma and misskey they have exchanged emoji reactions with no problem. [00:39:27] Jeremy: Oh, I see. So they, they both understand that activity. They both implement it the same way, but then when misskey communicates with Mastodon or with an instance that it knows doesn't understand it, it sends something different. [00:39:45] Hong: Yeah, that's right. [00:39:47] Jeremy: The servers -- can they query one another to know which activities they support? [00:39:53] Hong: Usually ActivityPub implementations also implement NodeInfo specification. It's like a user agent-like thing in Fediverse. Implementations tell the other instance (if it) is Mastodon or something else. You can query the type of server. [00:40:20] Jeremy: Okay, so within ActivityPub are each of the servers -- is the term node is that the word they use for each server? [00:40:31] Hong: Yes. Right. [00:40:32] Jeremy: You have the nodes, which can have any number of actors and the servers send activities to one another, to each other's inboxes. And so those are the way they all communicate. [00:40:49] Hong: Yeah. Building an ActivityPub implementation [00:40:50] Jeremy: You've implemented ActivityPub with Fedify because you found like there weren't good enough implementations or resources already. Did you implement it based off of the specification or did you look at existing implementations while you were building your implementation? [00:41:12] Hong: To be honest, instead of just, diving into the spec. I usually start by looking at actually ActivityPub software code first. The ActivityPub spec is so vague that you can't really build something just from reading it. So when we talk about ActivityPub, we are actually talking about a whole bunch of other technical standards too, WebFinger, HTTP signatures and more. So you need to understand all of these as well. [00:41:47] Jeremy: With the specification alone, you were saying it's too vague and so what ends up being -- I'm not sure if it's right to call it a spec, but looking at the implementations that people have already made that collectively becomes the spec because trying to follow the spec just by itself is maybe too difficult. [00:42:12] Hong: Yes. [00:42:14] Jeremy: Maybe that brings up the issues you were talking about before where you have specifications like JSON-LD where they're so complicated that even the biggest implementations aren't quite following it exactly. [00:42:28] Hong: Yeah. [00:42:29] Jeremy: If somebody wanted to, to get started with understanding a little bit more about ActivityPub or building something with it where would you recommend they start? [00:42:44] Hong: I recommend to dig into a lot of code from actual implementations. First, Mastodon, Misskey, Akkoma and so on. There are are some really cool tools that have been so helpful. For example, ActivityPub Academy is this awesome mastodon server for debugging ActivityPub. It makes it super easy to create a temporary account and see what activities are going back and forth. There is also BrowserPub. BrowserPub is this neat tool for looking up and browsing ActivityPub objects. It's really handy when you want to see how different ActivityPub software handles various features. I also recommend to use Fedify. I've got to mention the Fedify CLI, which comes with some really useful tools. [00:43:46] Jeremy: So if someone uses Fedify they're writing an application in TypeScript, then it sounds like they have to know the high level concepts. They have to know what are the different activities, what is inside of an actor. But the actual implementation of how do I create and parse JSON linked data, those kinds of things are taken care of by the library. [00:44:13] Hong: Yes, right. [00:44:16] Jeremy: So in some ways it seems like it might be good to, like you were saying, use the tools you mentioned to create a test Mastodon account, look at the messages being sent back and forth, and then when you're trying to implement it, starting with something like Fedify might be good because then you can really just focus on the concepts and not worry so much about the, the implementation details. [00:44:43] Hong: Yes, that's right. [00:44:45] Jeremy: Is there anything else you. Wanted to mention or thought we should have talked about? [00:44:52] Hong: Mm. I want to, talk about, a lot of stuff about ActivityPub but it's difficult to speak in English for me, so, it's a shame to talk about it very little. [00:45:15] Jeremy: We need everybody to learn Korean right? [00:45:23] Hong: Yes, please. (laughs) [00:45:23] Jeremy: Yeah. Well, I wanna thank you for taking the time. I know it must have been really challenging to give an interview in, you know, a language that's not your native one. So thank you for spending the time to talk with me. [00:45:38] Hong: Thank you for having me.

On this episode of the Crazy Wisdom Podcast, I, Stewart Alsop, sit down with Brendon Wong, the founder of Unize.org. We explore Brendon's work in knowledge management, touching on his recent talk at Nodes 2024 about using AI to generate knowledge graphs and trends in the field. Our conversation covers the evolution of personal and organizational knowledge management, the future of object-oriented systems, the integration of AI with knowledge graphs, and the challenges of autonomous agents. For more on Brendon's work, check out unize.org and his articles at web10.ai.Check out this GPT we trained on the conversation!Timestamps00:00 Introduction to the Crazy Wisdom Podcast00:35 Exploring Unise: A Knowledge Management App01:01 The Evolution of Knowledge Management02:32 Personal Knowledge Management Trends03:10 Object-Oriented Knowledge Management05:27 The Future of Knowledge Graphs and AI10:37 Challenges in Simulating the Human Mind22:04 Knowledge Management in Organizations26:57 The Role of Autonomous Agents30:00 Personal Experiences with Sleep Aids30:07 Unique Human Perceptions32:08 Knowledge Management Journey33:31 Personal Knowledge Management Systems34:36 Challenges in Knowledge Management35:26 Future of Knowledge Management with AI36:29 Melatonin and Sleep Patterns37:30 AI and the Future of the Internet43:39 Reasoning and AI Limitations48:33 The Future of AI and Human Reasoning52:43 Conclusion and Contact InformationKey InsightsThe Evolution of Knowledge Management: Brendon Wong highlights how knowledge management has evolved from personal note-taking systems to sophisticated, object-oriented models. He emphasizes the shift from traditional page-based structures, like those in Roam Research and Notion, to systems that treat information as interconnected objects with defined types and properties, enhancing both personal and organizational knowledge workflows.The Future Lies in Object-Oriented Knowledge Systems: Brendon introduces the concept of object-oriented knowledge management, where data is organized as distinct objects (e.g., books, restaurants, ideas) with specific attributes and relationships. This approach enables more dynamic organization, easier data retrieval, and better contextual understanding, setting the stage for future advancements in knowledge-based applications.AI and Knowledge Graphs Are a Powerful Combination: Brendon discusses the synergy between AI and knowledge graphs, explaining how AI can generate, maintain, and interact with complex knowledge structures. This integration enhances memory, reasoning, and information retrieval capabilities, allowing AI systems to support more nuanced and context-aware decision-making processes.The Limitations of Current AI Models: While AI models like LLMs have impressive capabilities, Brendon points out their limitations, particularly in reasoning and long-term memory. He notes that current models excel at pattern recognition but struggle with higher-level reasoning tasks, often producing hallucinations when faced with unfamiliar or niche topics.Challenges in Organizational Knowledge Management: Brendon and Stewart discuss the persistent challenges of implementing knowledge management in organizations. Despite its critical role, knowledge management is often underappreciated and the first to be cut during budget reductions. The conversation highlights the need for systems that are both intuitive and capable of reducing the manual burden on users.The Potential and Pitfalls of Autonomous Agents: The episode explores the growing interest in autonomous and semi-autonomous agents powered by AI. While these agents can perform tasks with minimal human intervention, Brendon notes that the technology is still in its infancy, with limited real-world applications and significant room for improvement, particularly in reliability and task generalization.Reimagining the Future of the Internet with Web 10: Brendon shares his vision for Web 10, an ambitious rethinking of the internet where knowledge is better structured, verified, and interconnected. This future internet would address current issues like misinformation and data fragmentation, creating a more reliable and meaningful digital ecosystem powered by AI-driven knowledge graphs.

AI competes for our attention because our attention has been commodified. As our entire lives revolve more and more around the attention economy, what can we do to restore our autonomy, reclaim our privacy, and reconnect with the real world.Computer scientist Fabien Gandon and research engineer Franck Michel are experts in AI, the Web, and knowledge systems. Fabien is a senior researcher at Inria (Institut national de recherche en sciences et technologies du numérique), specializing in the Semantic Web, while Franck focuses on integrating and sharing data through Linked Open Data technologies.Together, they've written Pay Attention: A Call to Regulate the Attention Market and Prevent Algorithmic Emotional Governance. Their research unpacks how digital platforms are monetizing our attention at an unprecedented scale—fueling misinformation and division and even threatening democracy and affecting our emotions and well-being.“The fact that technologies are being used and combined to capture our attention is concerning. This is currently being done with no limitations and no regulations. That's the main problem. Attention is a very private resource. No one should be allowed to extract it from us by exploiting what we know about the human mind and how it functions, including its weaknesses. We wrote this paper as a call to regulate the attention market and prevent algorithmic emotional governance.”Episode Websitewww.creativeprocess.info/podInstagram:@creativeprocesspodcast

“The fact that technologies are being used and combined to capture our attention is concerning. This is currently being done with no limitations and no regulations. That's the main problem. Attention is a very private resource. No one should be allowed to extract it from us by exploiting what we know about the human mind and how it functions, including its weaknesses. We wrote this paper as a call to regulate the attention market and prevent algorithmic emotional governance.”Computer scientist Fabien Gandon and research engineer Franck Michel are experts in AI, the Web, and knowledge systems. Fabien is a senior researcher at Inria (Institut national de recherche en sciences et technologies du numérique), specializing in the Semantic Web, while Franck focuses on integrating and sharing data through Linked Open Data technologies.Together, they've written Pay Attention: A Call to Regulate the Attention Market and Prevent Algorithmic Emotional Governance. Their research unpacks how digital platforms are monetizing our attention at an unprecedented scale—fueling misinformation and division and even threatening democracy and affecting our emotions and well-being.Episode Websitewww.creativeprocess.info/podInstagram:@creativeprocesspodcast

“The fact that technologies are being used and combined to capture our attention is concerning. This is currently being done with no limitations and no regulations. That's the main problem. Attention is a very private resource. No one should be allowed to extract it from us by exploiting what we know about the human mind and how it functions, including its weaknesses. We wrote this paper as a call to regulate the attention market and prevent algorithmic emotional governance.”Computer scientist Fabien Gandon and research engineer Franck Michel are experts in AI, the Web, and knowledge systems. Fabien is a senior researcher at Inria (Institut national de recherche en sciences et technologies du numérique), specializing in the Semantic Web, while Franck focuses on integrating and sharing data through Linked Open Data technologies.Together, they've written Pay Attention: A Call to Regulate the Attention Market and Prevent Algorithmic Emotional Governance. Their research unpacks how digital platforms are monetizing our attention at an unprecedented scale—fueling misinformation and division and even threatening democracy and affecting our emotions and well-being.Episode Websitewww.creativeprocess.info/podInstagram:@creativeprocesspodcast

“The fact that technologies are being used and combined to capture our attention is concerning. This is currently being done with no limitations and no regulations. That's the main problem. Attention is a very private resource. No one should be allowed to extract it from us by exploiting what we know about the human mind and how it functions, including its weaknesses. We wrote this paper as a call to regulate the attention market and prevent algorithmic emotional governance.”Computer scientist Fabien Gandon and research engineer Franck Michel are experts in AI, the Web, and knowledge systems. Fabien is a senior researcher at Inria (Institut national de recherche en sciences et technologies du numérique), specializing in the Semantic Web, while Franck focuses on integrating and sharing data through Linked Open Data technologies.Together, they've written Pay Attention: A Call to Regulate the Attention Market and Prevent Algorithmic Emotional Governance. Their research unpacks how digital platforms are monetizing our attention at an unprecedented scale—fueling misinformation and division and even threatening democracy and affecting our emotions and well-being.Episode Websitewww.creativeprocess.info/podInstagram:@creativeprocesspodcast

AI competes for our attention because our attention has been commodified. As our entire lives revolve more and more around the attention economy, what can we do to restore our autonomy, reclaim our privacy, and reconnect with the real world.Computer scientist Fabien Gandon and research engineer Franck Michel are experts in AI, the Web, and knowledge systems. Fabien is a senior researcher at Inria (Institut national de recherche en sciences et technologies du numérique), specializing in the Semantic Web, while Franck focuses on integrating and sharing data through Linked Open Data technologies.Together, they've written Pay Attention: A Call to Regulate the Attention Market and Prevent Algorithmic Emotional Governance. Their research unpacks how digital platforms are monetizing our attention at an unprecedented scale—fueling misinformation and division and even threatening democracy and affecting our emotions and well-being.“The fact that technologies are being used and combined to capture our attention is concerning. This is currently being done with no limitations and no regulations. That's the main problem. Attention is a very private resource. No one should be allowed to extract it from us by exploiting what we know about the human mind and how it functions, including its weaknesses. We wrote this paper as a call to regulate the attention market and prevent algorithmic emotional governance.”Episode Websitewww.creativeprocess.info/podInstagram:@creativeprocesspodcast

Web3, sometimes referred to as the “Semantic Web”, enhances the machine readability of web content and could usher in a more intelligent, interconnected, and decentralised internet, turbocharging decentralised finance and fintech blockchain applications. These innovations have the potential to reshape financial services to be more inclusive and equitable, greatly enhancing international trade and the competitiveness, and reputations, of financial centres that are at the forefront of innovation. However, DeFi applications also have the potential to bring certain risks, such as the ease of fraud and money laundering, strip protections from customers. Such risks require careful regulatory attention to prevent negative impact on national economies and the global financial system. Given these dual potentials, an enabling regulatory framework for innovation is crucial, and financial regulators are the bodies that must walk a tightrope between these two outcomes – too heavy handed an approach will see innovation stifled and businesses fleeing to overseas competitors, too light a touch will result in damage to markets. This webinar looks at how financial centres can support Web3 and FinTech whilst protecting markets and customers, and unveils the latest research from Z/Yen, which was commissioned by Hong Kong's Financial Services Development Council. Our speakers will unpick the challenges facing various stakeholders in the ecosystem, including regulators and the private sector. They will examine different approaches to foster an enabling regulatory framework for innovation and reveal the insights gained from exchanges with web3 innovators in Hong Kong on the island's efforts to stimulate innovation in Web3 and Fintech.

Join us with SEO expert Jason Berkowitz as we dissect e-commerce SEO. We're cutting through the noise of AI content and zeroing in on standout strategies. It's all about making your site visible online, illustrated by a case study on an outdoor sports gear brand. We're not just talking SEO basics; we're giving you actionable strategies for Shopify stores to turn browsers into buyers. We go beyond headings, exploring how articles can drive traffic to products. Plus, we're unpacking the real deal with SEO tools and Shopify's role in e-commerce. Tune in for insights that could transform your digital strategy.Episode Highlights:Jason's Journey in SEO - From a self-proclaimed SEO weirdo to the founder of Break the Web.Evolution of SEO - How SEO strategies have changed from 2009 to today.Impact of AI on SEO - Navigating the challenges and opportunities AI presents to search engine optimization.Common SEO Frustrations - Addressing the common annoyances and misconceptions in SEO.Effective Keyword Research - Tools and techniques for finding the right keywords.On-Page vs. Off-Page SEO - Understanding the balance and importance of both.Link Building Strategies - Practical tips for earning quality backlinks.Guest Background:Jason Berkowitz has been a prominent figure in the SEO industry since 2009. As the founder and SEO Director of Break the Web, he has helped numerous DTC brands enhance their online presence. Known for his transparent and results-driven approach, Jason has been a trusted advisor to in-house marketing teams, helping them navigate the complexities of SEO. Outside of his professional achievements, Jason is passionate about demystifying SEO and making it accessible to all.WebsiteLinkedInTwitter--Additional Resources:Tools Mentioned:Break The Web SEO AgencyScreaming FrogAhrefsSEMrushSiteBulbMozStatistaGoogle TrendsSEO ManagerWiki: The Semantic WebRich Results TestShow your products for free on GoogleSet up the Google & YouTube channelSponsors:ZipifyCleverificNever miss an episode:Subscribe wherever you get your podcastsJoin Kurt's newsletterHelp the show:Ask a question in The Unofficial Shopify Podcast Facebook GroupLeave a reviewSubscribe wherever you get your podcastsWhat's Kurt up to?See our recent work at EthercycleSubscribe to our YouTube ChannelApply to work with Kurt to grow your store.Tune in to learn the secrets of successful SEO from one of the industry's leading experts!

Today I'm speaking with Dr. James Hendler, the Director and professor at Rensselaer Polytechnic Institute and a pioneer of the Semantic Web. For those in the tech and academic circles, Jim Hendler is a name synonymous with transformative changes in how we interact with and understand the web.This is a truly enlightening conversation with Jim! He brings a rich tapestry of experiences, having worked at places like DARPA and on foundational projects that have shaped the internet and artificial intelligence as we know them today. During our conversation, Jim talks about his early interests in technology and growing up in New York, his extensive professional journey through the early days of AI and working on the Semantic Web with the likes of Tim Berners-Lee, and his insightful views on emerging technologies like web3.Jim shines a light on a lot of aspects of technology development and application, reflecting on the evolution from early AI research to today's state of the field. We'll explore his significant contributions to the field, including his work on the Semantic Web, his time at DARPA, the early days of AI, and his thoughts on the future of the internet.Show Notes and TranscriptsThe GRTiQ Podcast takes listeners inside web3 and The Graph (GRT) by interviewing members of the ecosystem.  Please help support this project and build the community by subscribing and leaving a review.Twitter: GRT_iQwww.GRTiQ.com 

EPISODE 124 | Derek DeWitt, communications specialist for Visix Web 3.0 is almost upon us, and it will herald completely new ways for people to communicate with one another in person, online and in virtual spaces. Organizations need to get in front of this new tech to understand what's coming and what's possible. We take a quick look back at the birth of the web and Web 2.0, and then peer into our crystal ball to see what's coming up for the online world as we all get more connected. - Hear the origins of the world wide web and how it continues to improve - Learn the basic of how the Semantic Web (3.0) will work - Understand six key aspects of Web 3.0 - Walk through a typical day in the world of Web 3.0 - Speculate about what late stage Web 3.0 and Web 4.0 will be like   See the full transcript HERE Interested in future tech? Listen to our podcast episodes about the AI Age, AI Personas & Ethics and Using AI to Create Content

In this episode, I have answered some FAQs of web3.0

"Open Data now" - Dazu ruft der Turing Award Gewinner Sir Tim Berners-Lee in seinem Kampf um offene Daten auf.Das macht er heute. Doch bekannt ist er als Erfinder des World Wide Webs. Wofür er 2016 auch den Turing Award verliehen bekommen hat. Doch wer ist eigentlich Sir Tim Berners-Lee genau? Wie kam es dazu, dass er das “heutige Internet” erfunden hat? Welches Problem wollte er damals lösen? Wie weit ist die heutige Implementierung und Nutzung des WWW von der ursprünglichen Idee entfernt? Welche architekturelle Änderungen würde Sir Tim Berners-Lee machen, wenn er das ganze nochmal neu machen würde? Und womit verbringt er heute seine Zeit?All das und noch viel mehr klären wir in der ersten Episoden zu den Turing Award Gewinnern.Bonus: Das Internet war ein Side Project geschrieben in Objective-C und ob wir für Social Media zahlen sollten.Das schnelle Feedback zur Episode:

«If we think of Data Mesh as an evolution of data lakes, knowledge graphs are an evolution of Master Data Management.»Data overload is becoming a real challenge for all types of businesses. With all data that is gathered, both in multiple formats and huge volumes, has created a need for connected, contextualized data. Combined with continuing developments in AI, has resulted in increasing interest in knowledge graphs as a means to generate context-based insights.I had a fantastic chat with Mozhgan Tavakolifard. Mozhgan describes herself as «incubator and alchemist». She worked with PhD-research on trust and SOME. The techniques Mozhgan used to collect data for her research introduced her to Data Science. On this episode of #MetaDAMA, we talked about Knowledge Graph enabled Data Mesh.Here are my key takeaways:Data-driven transformationPersonal transformation and transformation of businesses are quite similar.Very few companies can blame that they are industrializing data and are transformed in a data-driven way.For a transformation to be successful, you need to have a holistic view and invest in a practical manner according to your business case.Don't change your business culture to match a data culture, but rather let data be an enabler for the business.Data MeshEach domain can have a different culture, produce different data products.4 indigents:Give data back to the domains where it is producedCreate self-service data infrastructureFederated governanceData as a productThe centralized data and analytics platform has failed.Knowledge Graph can basically be considered as Data Supply Chain for Data Mesh.KG can be used to semantically link data products.Knowledge GraphsKG enable a human brain-like approach to derive new knowledge. A KG is quite simply any graph of data that accumulates and conveys knowledge of the real world.Every consumer-facing digital brand, such as Google, Amazon, Facebook, Spotify, etc., has invested significantly in building knowledge and the concept of graphs has evolved to underpin everything from critical infrastructure to supply chains and policing. There is a difference between Knowledge graph and graph data store. The semantic layer is what makes data smart.KG is when you have a dynamic and rich context around knowledge.KG can be used to semantically search for data.KG are a very important part of data mesh.If you want to start with knowledge graphs: find your business case. What is the purpose for you?«RIP Semantic Web! The Semantic Web is dead.»Maybe part of the problem was that is was academy focused, more than practical, industry-focused.If we manage to implement Data Mesh on a society level, we might have taken a big step realizing some parts of the semantic web.TrustTrust and explainability is based on context. Knowledge graphs can provide context and connect between them, this can ultimately generate trust.

The newest and most talked-about generation of the internet is called Web 3.0. The third iteration, built on complex software tools like artificial intelligence, will enter the warriors' arena after 2.0. It strives to offer a reliable, data-driven user interface that is accommodating to all users. Web3 is anticipated to make use of Semantic Web, Blockchains, and Metaverse. In today's episode of The Brand Called You, Gregory Griffiths talks about the various developments and their consequences in the world of Internet. He also sheds light on his endeavours, IDEAX Ventures and his time at the royal office of UAE. --- Support this podcast: https://anchor.fm/tbcy/support

We debate the lies our tool makers tell us, if Clojure has a Rails-sized hole, and the secrets of a successful software engineer.

Good morning!  This morning I woke up at 5:30 am with the burning desire to explain the differences between web3 and web 3.0 and some of the history and function of both (said noone ever).  Well that's exactly what I do in this episode, except it is not some organized survey of both.  It is, rather, a crash-up-derby of an event with topics, questions, and answers all over the place.  Have fun listening and making sense of it all!   Sources: https://www.reworked.co/information-management/why-web3-and-web-30-are-not-the-same/   https://www.spiceworks.com/tech/it-strategy/news/web-three-dystopian-nightmare-future/   https://en.wikipedia.org/wiki/Semantic_Web   https://thenextweb.com/news/web-inventor-tim-berners-lee-screw-web3-my-decentralized-internet-doesnt-need-blockchain   https://twobithistory.org/2018/05/27/semantic-web.html   https://www.youtube.com/watch?v=V6BR9DrmUQA  

Teodora Petkova Modern communication on the web is best when it's semantic and meaningful, networked and conversational. Creating web conversations starts with collaborative internal communication and then invites the marketplace to join in. Teodora Petkova is a semantic web explorer with a PhD in digital marketing and communication. She loves to share her fascination with the evolution of web content and her expertise in cultivating marketing conversations. We talked about: her identity as a semantic web explorer how our abilities as "intertextual animals" help us find meaning amidst the noise of modern media her discovery of "dialogic communication" and how it applies to content marketing the stakeholder's theory of communication the importance of internal communication the role of internal communication in dialogic communication strategy, and the importance of documenting common understandings why she doesn't like to talk about content marketing her definition of content: digital object in an artifact, a result of communication the core of her thoughts about marketing: business is about listening to the rhythm of the market Teodora's bio Teodora Petkova is a content writer fascinated by the metamorphoses of text on the Web. Very much in love with the Semantic Web, she explores how our networked lives transform (and are transformed by) the expanding possibilities of the written word. With an educational background in Classical Studies and Creative Writing, Teodora recently earned a PhD degree in Digital Marketing and Communication at the Faculty of Journalism and Mass Media at Sofia University. In her research and practice she continues to explore words, concepts and the way we use them to transfer or create meaning. More specifically, Teodora works to discern (and sometimes pave) the ways web content is changing marketing communication, us and the way we think, write and live. Connect with Teodora online Twitter email Video Here's the video version of our conversation: https://www.youtube.com/watch?v=aAbSqz8zc54 Podcast intro transcript This is the Content Strategy Insights podcast, episode number 119. When you communicate on the web, it's tempting to focus on the messages you want to share. Teodora Petkova will remind you that modern marketing content is more about conversation than announcements, more about listening to the rhythm of the market than about composing your own messages. Teodora describes herself as a semantic web explorer and is fascinated by the ways in which modern networked content is transforming the way we think, write and live. Interview transcript Larry: Hi, everyone. Welcome to episode number 119 of the Content Strategy Insights podcast. I am really delighted today to have with us Teodora Petkova. Teodora is... She's a language lover and a semantic web explorer. That's how she describes herself, and welcome Teodora. Tell the folks a little bit more about what a semantic web explorer does. Teodora: A semantic web explorer looks into how the semantic web changes the way we communicate and opens opportunities for richer exchanges between us through our machines. Larry: I love that. You recently completed a PhD in communication, and so you've thought about this very deeply. Teodora: Yeah. I'm a recovering PhD graduate. I'm trying not to think about that, but it chases me because I'm so curious how language evolves with our machines being able to understand it. I'm all the time saying our. They're not our. I mean, they're Google's algorithm or somebody's digital assistant. I shouldn't say our, because it blurs the perspectives we need to be able to do better content. We need to be very aware that we cannot talk about machines as a whole. Larry: Yeah. When you say that our, because that was the original hope of the semantic web, that we'd all have our say, and it would all be connected and we could share, but in fact,

Modern communication on the web is best when it's semantic and meaningful, networked and conversational. Creating web conversations starts with collaborative internal communication and then invites the marketplace to join in. Teodora Petkova is a semantic web explorer with a PhD in digital marketing and communication. She loves to share her fascination with the evolution of web content and her expertise in cultivating marketing conversations. https://ellessmedia.com/csi/teodora-petkova/

This week host Alex Kehaya joins Professor James Hendler, one of the originators of the semantic web and the Director of the Institute for Data Exploration and Applications and the Tetherless World Professor for Computer, Web and Cognitive Science at RPI. James has authored over 450 books, technical papers, and articles in the areas of open data, the Semantic Web, artificial intelligence, data policy and governance. We take a deep dive into the inside story of the semantic web, what's next for Web3, and the future of artificial intelligence.  

Today's guest was former W3C chair / current CEO of RChain Publishing -Steven Ross Talbot.

As the buzz around Web3 grows, I thought it would be good to revisit the concepts of Web 1.0 and Web 2.0. What do those terms actually mean? And does Web3 have any connection to them?  See omnystudio.com/listener for privacy information.

Visit the show's web page: thesearch.spaceShow notesI first became aware of Kevin through a series of blog posts that explain the similarities and differences between these different kinds of databasesGraph Fundamentals — Part 1: RDFGraph Fundamentals — Part 2: Labelled Property GraphsGraph Fundamentals — Part 3: Graph Schema LanguagesGraph Fundamentals Part 4: Linked DataThen I found out about TerminusDbhttps://terminusdb.com/"a bunch of Swedish hackers with a bunch of JSON blobs"https://neo4j.com/Full quote:[...] there have been many more incoherent standards and initiatives that have come out of the W3C's standards bodies — almost all of which have  launched like lead balloons into a world that cares not a jot.  Nevertheless, it is important to recognise that, hidden in all the  nonsense, there are some exceptionally good ideas — triples, URL  identifiers and OWL itself are all tremendously good ideas in essence  and nothing else out there comes close. It is a sad testament to the  suffocating nature of design by standards committee which has consumed  countless hours of many thousands of smart and genuine researchers, that ultimately the entire community ended up getting it's ass kicked by a  bunch of Swedish hackers with a bunch of json blobs — the Neo4j property graph guys have had a greater impact upon the real world than the whole academic edifice of semantic web research.The Semantic Web as a movement came out of Tim Berners-LeeOne of the seminal articles:https://web.archive.org/web/20171010210556/https://pdfs.semanticscholar.org/566c/1c6bd366b4c9e07fc37eb372771690d5ba31.pdfThe Semantic Web is not a separate Web but an extension of the current one, in which information is given well-defined meaning, better enabling computers and people to work in cooperation. ... Adding logic to the Web—the means to use rules to make inferences, choose courses of action and answer questions—is the task before the Semantic Web community at the moment.      — May 17, 2001, The Semantic Web - A new form of Web content that is meaningful to computers will unleash a revolution of new possibilities, Tim Berners-Lee, James Hendler and Ora Lassila The standardization of RDF, the standardization of OWLthe big, big gap in a lot of the standards of the semantic web was some type of closed world reasoning regimeI was one of the developers of software that ran a thing called Indymedia back in the early two-thousands.most of the impetus for OWL came out of the description logic community...there's a number of very well-known and very accomplished description logic people [...] like Peter Patel-Schneider and [Ian] Horrocks in Oxford....they were using predicates to point out that two things, two data structures are the same thing. But the standard didn't ... mean for that to be used for things that just happened to be the same real world thing...Kevin discusses this misuse of owl:sameAs and owl:equivalentClass in the the fourth of his blog posts linked to above.I was talking to some of the guys in Semantic Arts, who are very busy and active consultants in the area.And then there is this thing called RDF stores...[RDF stores] are based around this concept of a triple - predicate subject objectJust like Google do actually on their front page now for their knowledge graphThe Google Knowledge Graph was introduced in 2012 with the great slogan "things, not strings"...the other thing that triples have ... is it makes revision controlled databases possible. From TerminusDB: A Technical History:...we adopted a delta encoding approach to updates as is used in source control systems such as git. This provides transaction processing and  updates using immutable database data structures, recovering standard  database management features while also providing the whole suite of  revision control features: branch, merge, squash, rollback, blame, and  time-travel...I've actually seen that very thing being described as a benefit of property graphs that each relation has its own ID and it can have [a] whole data structure associated with itSee for example neo4j's blog post RDF Triple Stores vs. Labeled Property Graphs: What's the Difference?, in the section "Difference #1: RDF Does Not Uniquely Identify Instances of Relationships of the Same Type".You can do it in SQL these days, but it's sort of a later addition... the WITH syntax, Common Table Expressions they are called... you can actually do recursive queries. I once showed up at a neo4j meetup with some examples of doing graphy queries in PostgreSQL using Common Table Expressions. (The presentation would have been more impressive if I had but some indexes on those tables...) A way better introduction is the excellent page on The WITH Clause in the SQLite documentation.People beat up on normal-form modeling and SQL way more than they should.A good recent blog post on this topic: Normalization is not a process.Even when I'm modelling graph stuff, I start off with basically ERD.We started out with the Java Jena library for Semantic Web. ★ Support this podcast ★

The semantic web was an effort to mark up webpages with facts about their content. The dream was to enable computers, to understand the world by reading these webpages. We discuss why the effort failed, how it relates to symbolic AI/knowledge graphs, and how the vision could still be realized today.Links/Resources:Introducing the Knowledge Graphhttps://twobithistory.org/2018/05/27/semantic-web.htmlMetacrap: Putting the torch to seven straw-men of the meta-utopiaWhatever happened to the Semantic Web? https://news.ycombinator.com/item?id=16806657http://ai.stanford.edu/blog/introduction-to-knowledge-graphs/Aggregation Theory: https://stratechery.com/concept/aggregation-theory/Chapters:0:00 Intros2:12 What is the Semantic Web?3:59 The Early 2000's8:32 The Idealism of the Semantic Web11:30 How it worked18:19 Roots in Symbolic AI22:53 The OG Web 3.025:28 Why Did the Semantic Web Fail?35:46 A Misalignment with the Medium41:10 Crypto and Semantic Web Collide43:25 Deep Learning and the Semantic Web Collide47:09 Vestiges of the Semantic Web49:44 Path to Intelligent Agents55:03 Incentive structures1:02:49 Token Curated Registries and the Semantic Web===== About “The Technium” =====The Technium is a weekly podcast discussing the edge of technology and what we can build with it. Each week, Sri and Wil introduce a big idea in the future of computing and extrapolate the effect it will have on the world.Follow us for new videos every week on web3, cryptocurrency, programming languages, machine learning, artificial intelligence, and more!===== Socials =====WEBSITE: https://technium.transistor.fm/ SPOTIFY: https://open.spotify.com/show/1ljTFMgTeRQJ69KRWAkBy7 APPLE PODCASTS: https://podcasts.apple.com/us/podcast/the-technium/id1608747545

In this episode of Product Spotlight, EK COO Joe Hilger speaks with Andreas Blumauer of Semantic Web Company. Andreas has been CEO and managing partner of Semantic Web Company (SWC) for more than 15 years. At SWC, he is responsible for corporate strategy and strategic business development. Andreas has been a pioneer in the field of Semantic AI since 2001.

In this episode of Ventures, I (https://www.linkedin.com/in/wclittle/) take about ~10min to talk about my perspective on why Web 3 (i.e. decentralized ownership, blockchains, Metaverse, and the Semantic Web) will dramatically change the landscape for entrepreneurship in the future. Based on feedback from the first year of this podcast, I share a bit about my story; i.e. how building and *owning* my own Web 2.0 ventures in the 2000s is analogous to what many entrepreneurs are doing right now in Web 3 communities. New communities and networks are being created rapidly, and the markets that our children will participate in the future are almost impossible for us to conceive of today.FYI, you can watch this episode via video here. For more background on my writings and podcasts on Web 3, see https://satchel.works/@wclittle/blockchains 

Al festival della Scienza di Genova, tra linguistica computazionale e geometria delle mappe

#Internet #Web #Google #Technology #SemanticWeb #WhatNext Internet is always been a way to communicate and stay connected with the world. In today's world tech giants are tracking users and earning billions of dollars. By tracking and keeping our personal information from which users have been the product. Is this is the future of internet all everything will be changed after #WEB3.0 come into play? Facebook, internet , web, data selling, dark web, internet 2021, internet crisis, ages of web, ages of internet, Web 3.0, Websites, Google, Amazon, Facebook, tracking users, data compromise, New Internet, Billions of dollar loss, Paid Internet, Vpn, decentralized web,internet of things,future technology,decentralized web hosting,blockchain applications,open source,open source technology,technology innovations,history of the internet,decentralized web browser,future technology innovations,community owned internet,community web services, internet infrastructure,future,internet,technology,science,inventions,innovations,smartphone,iphone,apple,wifi,data,datacenter,big data,cloud,amazon,TDC,thedailyconversation,vox,cnn,megaprojects,ted,iot,lifi,fiber,4k,video,youtube red,netflix,pewdiepie,construction,bryce plank,megacities,news,review,new,samsung,galaxy,nintendo switch,traffic,report,best,documentary,engineering,computer science,software,design,it,robot,robotics,gigabyte,tech,unboxing,future tech Subscribe to What Next: https://www.youtube.com/channel/UCZt0pkrN8Jy0IDoo0UqQzGQ Listen to What Next Podcast: Apple podcast - https://podcasts.apple.com/us/podcast/what-next/id1581270156 Spotify - https://open.spotify.com/show/3IIH3zxrKBGHy8k7Ap8Ayr Google podcast - https://podcasts.google.com/feed/aHR0cHM6Ly9hbmNob3IuZm0vcy8yMjlmZWNkOC9wb2RjYXN0L3Jzcw Anchor - https://anchor.fm/whatnextyt About What Next: What Next is a YouTube channel created by Rizwan Sayyed since 2021. Topics cover anything futuristic related to science, technology, history, movies, business, etc.

In 2001 Ora Lassila, James Hendler, and Tim Berners-Lee publish a paper in the Scientific American titled The Semantic Web. This would be a new form of Web content that is meaningful to computers rather than humans and will unleash a revolution of new possibilities. Then what happened? Dr. Ora Lassila tells the story. 

In this special 25th episode of Untangling the Web, we talk with one of the founders of web science, Professor Sir Nigel Shadbolt. He's Principal of Jesus college and professorial Research Fellow in Computer Science at the University of Oxford. As information adviser to the United Kingdom government, he encouraged the release of many 1000s of public sector data sets. He was knighted in 2013 for services to science and engineering. During this episode, Nigel recounts some of those founding conversations and intentions surrounding the creation of the web science field, as well as some of his more recent work. Nigel, who was on the forefront of the Semantic Web, also explains exactly what that means -- and what the web might look like today if it had expanded. To hear to this and more, listen to this episode. Click here for this episode's transcript and here for this episode's show notes.

Talk recorded at 2017 Connected Data London Conference Connected Data encompasses data acquisition and data management requirements from a range of areas including the Semantic Web, Linked Data, Knowledge Management, Knowledge Representation and many others. Yet for the true value of many of these visions to be realised both within the public domain and within organisations requires the assembly of often huge datasets. Thus far this has proven problematic for humans to achieve within acceptable timeframes, budgets and quality levels. This panel discussion by Paul Groth, Spyros Kotoulas, Tara Rafaat, Freddy Lecue & moderator Szymon Klarman tackles these issues

Chris Em (also known as Cookie Engineer) has almost 2 decades of experience in IT and security industry. He specializes in multiple domains including web intelligence, network security and forensics. During spare time, Chris is working on the Web of Knowledge with his project called the [Tholian Network](https://tholian.network), which aims to automate the Semantic Web whilst using a unique distributed peer-to-peer Network Architecture combined with (co-)evolutionary adaptive AI methodologies and compositional game theory ideas to learn and adapt from user interactions with the Web.Chris has contributed to various open source projects including steganography, network security, drones, adblock proxy and other automation works as well. https://cookie.engineer/#/open-source For more SecTools podcast episodes, visit https://infoseccampus.com

Teodora Petkova talks with Jason Barnard about weaving the web of people, content & data. Teodora Petkova is a philologist fascinated by the metamorphoses of text on the Web. She is very much in love with the Semantic Web and today she joins Jason Barnard to share the transformation of our networked physical lives to the world of cyberia. This is an episode full of fascinating resources! She starts with how the web was semantic from the beginning (referring to the book by the world wide web creator himself, Tim Berners), she also shares amazing insights into the concepts of giant global graph, cyberia and building readership (and provides references well worth reading - see below). She has an amazing way of explaining the incredible interconnectivity of the web and the people who use it… and the correct way for marketers to communicate with their audience, how different actors can collaborate for a well-packaged digital strategy, and MUCH more. Some links from the show :) Here I have listed some of the media experiences (re: building readership vs. "creating content") - https://searchnewscentral.com/blog/2019/06/28/being-content-writer-in-age-of-semantic-technologies/ 2. This is Tim Berners-Lee's book: https://www.w3.org/People/Berners-Lee/Weaving/ 3. The concept of a Giant Global Graph (re; what the Web has to do with content and people :)) is here: https://en.wikipedia.org/wiki/Giant_Global_Graph What you'll learn from Teodora Petkova 00:00 Teodora Petkova and Jason Barnard01:09 Teodora Petkova's knowledge panel05:48 Weaving the Web of People, Content & Data06:31 The web semantic from the beginning07:41 The web of people: Adapting from counterculture to cyberculture10:14 The web is not a giant marketing medium12:29 Stop pasting billboards on the web and start building long term relationships14:54 The irony in marketing: Communicating in a way we don't want to be communicated with17:34 What does Teodora mean when she says we live in our own bubbles? 21:20 How can we communicate correctly? 27:55 What is the giant global graph built of?29:50 The connectivity of the web is overwhelming. Where to start?34:34 Building readership: Creating content to create experiences38:17 How can someone use semantic data?40:57 How can we create a machine and user rich experience using structured data? Helpful Resources About Weaving the Web of People, Content & Data PhD Thesis: Digital Marketing Communications – Aspects of ContentFrom Odes to Nodes [Book Excerpt] This episode was recorded live on video July 13th 2021 Recorded live at Kalicube Tuesdays (Digital Marketing Livestream Event Series). Watch the video now >>

Teodora Petkova talks with Jason Barnard about weaving the web of people, content & data. Teodora Petkova is a philologist fascinated by the metamorphoses of text on the Web. She is very much in love with the Semantic Web and today she joins Jason Barnard to share the transformation of our networked physical lives to the world of cyberia. This is an episode full of fascinating resources! She starts with how the web was semantic from the beginning (referring to the book by the world wide web creator himself, Tim Berners), she also shares amazing insights into the concepts of giant global graph, cyberia and building readership (and provides references well worth reading - see below). She has an amazing way of explaining the incredible interconnectivity of the web and the people who use it… and the correct way for marketers to communicate with their audience, how different actors can collaborate for a well-packaged digital strategy, and MUCH more. Some links from the show :) Here I have listed some of the media experiences (re: building readership vs. "creating content") - https://searchnewscentral.com/blog/2019/06/28/being-content-writer-in-age-of-semantic-technologies/ 2. This is Tim Berners-Lee's book: https://www.w3.org/People/Berners-Lee/Weaving/ 3. The concept of a Giant Global Graph (re; what the Web has to do with content and people :)) is here: https://en.wikipedia.org/wiki/Giant_Global_Graph What you'll learn from Teodora Petkova 00:00 Teodora Petkova and Jason Barnard01:09 Teodora Petkova's knowledge panel05:48 Weaving the Web of People, Content & Data06:31 The web semantic from the beginning07:41 The web of people: Adapting from counterculture to cyberculture10:14 The web is not a giant marketing medium12:29 Stop pasting billboards on the web and start building long term relationships14:54 The irony in marketing: Communicating in a way we don't want to be communicated with17:34 What does Teodora mean when she says we live in our own bubbles? 21:20 How can we communicate correctly? 27:55 What is the giant global graph built of?29:50 The connectivity of the web is overwhelming. Where to start?34:34 Building readership: Creating content to create experiences38:17 How can someone use semantic data?40:57 How can we create a machine and user rich experience using structured data? Helpful Resources About Weaving the Web of People, Content & Data PhD Thesis: Digital Marketing Communications – Aspects of ContentFrom Odes to Nodes [Book Excerpt] This episode was recorded live on video July 13th 2021 Recorded live at Kalicube Tuesdays (Digital Marketing Livestream Event Series). Watch the video now >>

Teodora Petkova talks with Jason Barnard about weaving the web of people, content & data. Teodora Petkova is a philologist fascinated by the metamorphoses of text on the Web. She is very much in love with the Semantic Web and today she joins Jason Barnard to share the transformation of our networked physical lives to the world of cyberia. This is an episode full of fascinating resources! She starts with how the web was semantic from the beginning (referring to the book by the world wide web creator himself, Tim Berners), she also shares amazing insights into the concepts of giant global graph, cyberia and building readership (and provides references well worth reading - see below). She has an amazing way of explaining the incredible interconnectivity of the web and the people who use it… and the correct way for marketers to communicate with their audience, how different actors can collaborate for a well-packaged digital strategy, and MUCH more. Some links from the show :) Here I have listed some of the media experiences (re: building readership vs. "creating content") - https://searchnewscentral.com/blog/2019/06/28/being-content-writer-in-age-of-semantic-technologies/ 2. This is Tim Berners-Lee's book: https://www.w3.org/People/Berners-Lee/Weaving/ 3. The concept of a Giant Global Graph (re; what the Web has to do with content and people :)) is here: https://en.wikipedia.org/wiki/Giant_Global_Graph What you'll learn from Teodora Petkova 00:00 Teodora Petkova and Jason Barnard01:09 Teodora Petkova's knowledge panel05:48 Weaving the Web of People, Content & Data06:31 The web semantic from the beginning07:41 The web of people: Adapting from counterculture to cyberculture10:14 The web is not a giant marketing medium12:29 Stop pasting billboards on the web and start building long term relationships14:54 The irony in marketing: Communicating in a way we don't want to be communicated with17:34 What does Teodora mean when she says we live in our own bubbles? 21:20 How can we communicate correctly? 27:55 What is the giant global graph built of?29:50 The connectivity of the web is overwhelming. Where to start?34:34 Building readership: Creating content to create experiences38:17 How can someone use semantic data?40:57 How can we create a machine and user rich experience using structured data? This episode was recorded live on video July 13th 2021 Recorded live at Kalicube Tuesdays (Digital Marketing Livestream Event Series). Watch the video now >>

Information is knowledge, says Rafael Espino in this IT Talks episode. His talk covers knowledge graphs, semantic web, machine learning, intelligent multi-agent systems, RDF storage, and LGP. By listening to this episode you will get the answer to questions like: When does data become information? What is an intelligent agent? How does RDF storage compare to knowledge graphs? And much more.

Web 3.0 is the third generation of internet services for websites and applications  that will focus on using a machine-based understanding of data to provide a data-driven and Semantic Web. The ultimate goal of Web 3.0 is to create more intelligent, connected and open websites. --- Send in a voice message: https://anchor.fm/aspirant-voice/message

In this episode of Ventures, my guest Andrew Cronk (https://www.linkedin.com/in/andrewcronk/, Co-founder and Chief Product Officer at https://figment.io/) and I discuss Web 3 and blockchains beyond price hysteria, energy-usage debates, and influencer shenanigans. While everyone has been distracted by current events, the Web 3 builders continue to push the technology forward in a way that is genuinely compelling for our future. We talk about Proof-of-Stake, building a Web 3 developer community, technologies that exist today for decentralized apps, NFTs, Helium Network, what the rest of this year looks like for Figment, and much, much more. Visit https://satchel.works/@wclittle/ventures-episode-48 for detailed notes and links to resources (videos, articles, etc…) mentioned. You can watch this episode via video here.In this episode we cover the following:1:55 - Will's tee-up for the conversation and why he enjoys having Andy on the show, why coin price and market dynamics aren't as interesting as what blockchains are going to enable for humanity.2:33 - Andy intro, background of https://figment.io, their bet on Proof-of-Stake, and the products/services they've developed for the community (Hubble, DataHub, Figment Learn, etc…)5:44 - Why proof-of-stake? Why did Figment double-down there? (seems like 99% of new blockchains are launching with proof-of-stake, so not a bad bet)8:51 - Defining Web 3. Semantic Web. Looping in AI/XR. How does Andy think about and define Web 3?10:40 - What can we - the collective developer community - do right now? What tech is available? Is it possible to build a fully functional Web 3 decentralized app? 15:42 - What can a group of 300-400 people use on Web 3 right now to organize and communicate? 19:58 - Logging in with identity in a Web 3 way, high interest in building Web 3 dApps, https://ceramic.network/ 20:50 - Possible to store chat data on-chain? Or in a Layer 2-3? 23:30 - Are there chains right now to put data on publicly? FileCoin/IPFS, Arweave, Sia.Tech's SkyNet.24:25 - dApp developers are going to need to query a database (e.g. a relational database, SQL  databases), what's available around this in Web 3? 26:06 - The nuance: where your application logic runs. Much more like a serverless paradigm. 27:10 - Figment's new fund: https://figment.io/resources/figment-capital-16m-fund-to-grow-web-3/ 29:28 - Supporting companies in different ways as part of the investment thesis (similar to https://www.protaventures.com) 30:25 - Similar to Bezos asking about what can be done with the Internet to scale selling books, what are ways that blockchains are enabling new tech? 33:00 - A lot more happening around mutualization (insurance). Nexus Mutual. Unslashed Finance. 34:20 - A discussion about the Helium Network. The future of 5G penetration into cities/towns with Helium, the raw source of their bandwidth, StarLink, etc... 37:50 - What's next for Figment? They are hiring! → https://figment.io/jobs/ 40:37 - Anything else that listeners should know about or questions that Andy has in this space?

Every day, technology is becoming more advanced—and so is the internet. From social media usage to the Semantic Web, tune into today's episode to hear Tim and Ryan discuss their fears and predictions for the future. The Teaching Transformations Podcast. Join Tim Desmond Ryan Wooley as they help teachers in their late forties or fifties to design a post-academic life. Seize the Day! Links: What Is Web 3.0? - https://www.forbes.com/sites/forbestechcouncil/2020/01/06/what-is-web-3-0/?sh=1379494058df The Spatial Web and Web 3.0 - https://www2.deloitte.com/us/en/insights/topics/digital-transformation/web-3-0-technologies-in-business.html What Is Web 3.0? Features, Definitions, & Examples - https://permission.io/blog/web-3-0/ The Decentralized Internet is Here: Web 3.0 and the Future of Blockchain-Powered Future - https://medium.com/bitfishlabs/the-decentralized-internet-is-here-web-3-0-and-the-future-of-blockchain-powered-future-f16ff02584a9 Embracing Web 3.0: The New Internet Era Will Begin Soon - https://www.hackernoon.com/embracing-web-3-0-the-new-internet-era-will-begin-soon-630ff6c2e7b6 Two-Bit History - https://twobithistory.org/ Transformations - The free weekly email with the best personally curated resources to help teachers in their late forties or fifties to design a post-academic life. - https://teachingtransformations.com/ Teaching Transformations Podcast - https://teachingtransformations.com/podcast/ Intro and outro music by Penthouses. “Come to Ohio” from The Weatherman album available on most music platforms. *Full disclosure: Some of the links are affiliate links.

As the interest in, and hype around, Knowledge Graphs is growing, there is also a growing need for sharing experience and best practices around them. Let's talk about definitions, best practices, hype, and reality. What is a Knowledge Graph? How can I use a Knowledge Graph & how do i start building one? This panel is an opportunity to hear from industry experts using these technologies & approaches to discuss best practices, common pitfalls and where this space is headed next. --- Katariina Kari Research Engineer, Zalando Tech-Hub Katariina Kari (née Nyberg) is a research engineer at the Zalando Tech-Hub in Helsinki. Katariina holds a Master in Science and Master in Music and is specialised in semantic web and guiding the art business to the digital age. At Zalando she is modelling the Fashion Knowledge Graph, a common vocabulary for fashion with which Zalando improves is customer experience. Katariina also consults art institutions to embrace the digital age in their business and see its opportunities. Panos Alexopoulos Head of Ontology, Textkernel BV Panos Alexopoulos has been working at the intersection of data, semantics, language and software for years, and is leading a team at Textkernel developing a large cross-lingual Knowledge Graph for HR and Recruitment. Alexopoulos holds a PhD in Knowledge Engineering and Management from National Technical University of Athens, and has published 60 papers at international conferences, journals and books. Sebastian Hellman dbpedia.org Sebastian is a senior member of the “Agile Knowledge Engineering and Semantic Web” AKSW research center, focusing on semantic technology research – often in combination with other areas such as machine learning, databases, and natural language processing. Sebastian is head of the “Knowledge Integration and Language Technologies (KILT)” Competence Center at InfAI. He also is the executive director and board member of the non-profit DBpedia Association. Sebastian is also a contributor to various open-source projects and communities such as DBpedia, NLP2RDF, DL-Learner and OWLG, and has been involved in numerous EU research projects. Natasa Varitimou Information Architect, Thomson Reuters Natasa has been working as a Linked Data architect in banking, life science, consumer goods, oil & gas and EU projects. She believes data will eventually become the strongest asset in any organization, and works with Semantic Web technologies, which she finds great in describing the meaning of data, integrating data and making it interoperable and of high quality. Natasa combines, links, expands and builds upon vocabularies from various sources to create flexible and lightweight information easily adaptable to different use cases. She queries these models with their data directly with SPARQL, guarantees data quality based on business rules, creates new information and defines services to bring together diverse data from different applications easily and with the semantics of data directly accessible.

Florian Bauer, Chief Solutions Officer at Semantic Web is our guest this week and he helps us explore the topic of metadata and knowledge graphs. Semantic Web has a knowledge graph product called Pool Party, which helps companies structure their metadata and understand their content better.During this episode, Florian discusses:How knowledge graphs help make better decision making, improving content discovery, and increase end-customer satisfaction through personalisation.The challenges faced by many content companies - such as the lack of a controlled media vocabularySome great practical advice to start creating a control vocabulary.If you are interested in reading the whitepaper series that Florian mentioned, here's the link: https://www.poolparty.biz/upcoming-white-paper-on-product-360

Jim and Jeff talk with Evan Gertis from NetFoundry about the semantic web and how IAM concepts like attribute and policy-based access controls are going to support our future. Connect with Evan on LinkedIn: https://www.linkedin.com/in/egertis/ Visit his website: http://www.evan-gertis.com/ Learn more about NetFoundry: https://netfoundry.io/ Connect with Jim and Jeff on LinkedIn here: Jim McDonald: https://www.linkedin.com/in/jimmcdonaldpmp/ Jeff Steadman: https://www.linkedin.com/in/jeffsteadman/ Visit the show at www.IdentityAtTheCenter.comand follow @IDACPodcast on Twitter. Have a question for Jim and Jeff? Ask us here: https://anchor.fm/identity-at-the-center/message --- Send in a voice message: https://anchor.fm/identity-at-the-center/message

第 73 回のテーマは Semantic Web です。今回は セマンティック・ウェブのための RDF/OWL 入門 や セマンティック HTML/XHTML の著者であり、 ジャパンサーチ などを手掛ける Semantic Web の専門家、 神崎正英 先生をお迎えし Web におけるセマンティクスの歴史や RDF の変遷、ジャパンサーチで行われている作業から見た Semantic Web の現状などについてお聞きしつつ、これからの Web のセマンティクスなどについて議論させていただきました。 Show Note はこちら: https://mozaic.fm/episodes/73/semantic-web.html

David Amerland, George Anadiotis, Panos Alexopoulos, and Teodora Petkova, have a few things in common. Besides being successful professionals, each in their own way, they also share a passion not many people share: the Semantic Web. As the Semantic Web is turning 20, they come together to talk about the passion. The first rule of the Semantic Web in the 2020's is, you don't talk about the Semantic Web. Most people don't. For most people, the Semantic Web is something they may be vaguely familiar with, and perhaps something that has been tried, and failed. Truth is, you may not know it, but you use the Semantic Web every day, and you love it. The Semantic Web, soon to celebrate its 20th anniversary, may not enjoy the kind of universal acclaim the WWW got on its 30th birthday, although both were kickstarted by Tim Berners Lee. It does, however, underpin Knowledge Graphs, and in that sense, it is in its heyday. We have known, loved, and used the Semantic Web for a long time, and we'll share why we think you should, too.

Whether we call it Semantic Web or Linked Data, Tim Berner Lee's vision never really caught on among users and developers. Although part of this vision is about decentralization, and this is something a few people are working on, Semantic Web technology remains largely underutilized by them. In this panel, we will explore how the Semantic Web and decentralization can benefit each other. Getting together people from both communities, and exploring questions such as: Is the Semantic Web technological stack really as complex as it is perceived to be? How can it be made more accessible, and align better with today's realities in software development? What are the issues facing people working in decentralization, and how could Semantic Web technology provide solutions? What about sustainability? How can efforts aiming to provide services to the public at large find a way to sustain themselves, navigating a challenging business landscape? Andre Garzia from Mozilla, Sebastian Hellman from DBpedia, Ruben Verborgh from Ghent University, moderated by Jonathan Holtby from Hub of All Things

Andrea Volpini with Jason Barnard at TakeItOffline Brighton 2019 Andrea Volpini talks with Jason Barnard about the semantic web from 2000 to 2019, and beyond. This conversation packs in a phenomenal amount of fascinating information about linked data, knowledge graphs, Artificial Intelligence (AI), machines… Andrea started working on semantic web technologies back in 2000 – so Andrea has been expecting the web to transition from being page based to being entity based for 20 years (see also Bill Slawski and Sergey Brin). All three have waited patiently for a long time and were starting to get impatient :) I then get unreasonably excited at the mention of Tim Berners Lee and his web of meanings. I find out that AI is hungry for data (as opposed to angry with data, as I had understood after a few beers the previous evening). Building a knowledge graph is a way to transfer the knowledge you have in a specific domain to the world, and in that sense it is much like a webpage. Andrea foolishly mentions the move from Mobile-first to Data first… so I push him to look into the future, and he brilliantly comes up with a lovely concept of Solidarity first and ‘the web of solidarity', which sounds really cool to me. We finish off with a chat about DBpedia Bus, Norvig, Chomsky … and the possibility of telepathy further down the line!

Andrea Volpini with Jason Barnard at TakeItOffline Brighton 2019 Andrea Volpini talks with Jason Barnard about the semantic web from 2000 to 2019, and beyond. This conversation packs in a phenomenal amount of fascinating information about linked data, knowledge graphs, Artificial Intelligence (AI), machines… Andrea started working on semantic web technologies back in 2000 – so Andrea has been expecting the web to transition from being page based to being entity based for 20 years (see also Bill Slawski and Sergey Brin). All three have waited patiently for a long time and were starting to get impatient :) I then get unreasonably excited at the mention of Tim Berners Lee and his web of meanings. I find out that AI is hungry for data (as opposed to angry with data, as I had understood after a few beers the previous evening). Building a knowledge graph is a way to transfer the knowledge you have in a specific domain to the world, and in that sense it is much like a webpage. Andrea foolishly mentions the move from Mobile-first to Data first… so I push him to look into the future, and he brilliantly comes up with a lovely concept of Solidarity first and ‘the web of solidarity', which sounds really cool to me. We finish off with a chat about DBpedia Bus, Norvig, Chomsky … and the possibility of telepathy further down the line!

Berners-Lee's World Wide Web (WWW) was not his original aim, which was closer to what we now call the Semantic or Data Web (SW): documents and images where the system itself 'understands' its content as the WWW certainly does not, any more than a television knows what it is showing. Professor Wilks will describe the Semantic Web and its origin in annotation methods from the humanities and will argue the need for this form of AI to manage a lifetime's information on the web.A lecture by Yorick Wilks, Visiting Professor of AI 15 January 2019The transcript and downloadable versions of the lecture are available from the Gresham College website: https://www.gresham.ac.uk/lectures-and-events/semantic-web-a-lifetime-of-informationGresham College has been giving free public lectures since 1597. This tradition continues today with all of our five or so public lectures a week being made available for free download from our website. There are currently over 2,000 lectures free to access or download from the website.Website: http://www.gresham.ac.uk Twitter: http://twitter.com/GreshamCollege Facebook: https://www.facebook.com/greshamcollege Instagram: http://www.instagram.com/greshamcollege