Podcasts about extensible markup language xml

Dr. Perry received his bachelor's degree from Columbia University in Ancient Greek Language and Literature and his Ph.D. in Classical Languages, Literatures, and Linguistics from Trinity College in Dublin. He has conducted extensive research on the Money Supply and recent trends in Monetary Policy. He is also the Managing Director of Fiduciary Automation, a company that helps businesses check if their financial ideas meet legal requirements and identify areas of ambiguity. In addition to Fiduciary Automation, Dr. Perry is also the founder of XML Special Interest Group, a platform for professionals who use Extensible Markup Language (XML), a coding language. Dr. Perry joined us to discuss why raising or lowering taxes is not realistic if the government should have the ability to tax citizens, and how the how the separation of state developed over time. To check out more of our content, including our research and policy tools, visit our website: https://www.hgsss.org/ --- Support this podcast: https://podcasters.spotify.com/pod/show/smart-talk-hgsss/support

Dr. Perry received his bachelor's degree from Columbia University in Ancient Greek Language and Literature, and his Ph.D. in Classical Languages, Literatures, and Linguistics from Trinity College in Dublin. He has conducted extensive research on the Money Supply and recent trends in Monetary Policy. He is also the Managing Director of Fiduciary Automation, a company that helps businesses check if their financial ideas meet legal requirements and identify areas of ambiguity. In addition to Fiduciary Automation, Dr. Perry is also the founder of XML Special Interest Group, a platform for professionals who use Extensible Markup Language (XML), a coding language. We were joined by Dr. Perry to discuss his analysis on recent macroeconomic trends, how asset bubbles are formed, and why the Fed always miscalculates unemployment.  To check out more of our content, including our research and policy tools, visit our website: https://www.hgsss.org/  --- Support this podcast: https://podcasters.spotify.com/pod/show/smart-talk-hgsss/support

Today's discussion was recorded in January of 2024, where we were joined by our guest, Dr. Walter E. Perry. Dr. Perry received his bachelor's degree from Columbia University in Ancient Greek Language and Literature, and his Ph.D. in Classical Languages, Literatures, and Linguistics from Trinity College in Dublin. He has conducted extensive research on Money Supply and recent trends in Monetary Policy. He is also the Managing Director of Fiduciary Automation, a company that helps businesses check if their financial ideas meet legal requirements and identify areas of ambiguity. In addition to Fiduciary Automation, Dr. Perry is also the founder of XML Special Interest Group, a platform for professionals who use Extensible Markup Language (XML), a coding language.  We were joined by Dr. Perry to discuss why the Federal Reserve's monetary policy has been ineffective, how AI and computer science can be used to understand why monetary policy is failing, and a brief history of modern monetary history. To check out more of our content, including our research and policy tools, visit our website: https://www.hgsss.org/  --- Support this podcast: https://podcasters.spotify.com/pod/show/smart-talk-hgsss/support

Extensible Markup Language (XML) is a data-interchange format that can be used as a meta file format: A format for defining other file formats. Commonly used in Web services for transmitting the results of API calls, it also underlies everything from Microsoft Office's file formats to RSS, the format of podcast feeds. You use XML based file formats every day, even if you don't know it. In this episode we dive into how XML works, what it looks like, and how it's used by programmers, programs, and everyday users. Show Notes Episode 6: How does the Web work? Episode 20: How do Digital Images Work? XML via Wikipedia Follow us on Twitter @KopecExplains. Theme “Place on Fire” Copyright 2019 Creo, CC BY 4.0 Find out more at http://kopec.live

We look at how data is represented using the XML format.

We look at how data is represented using the XML format.

We look at how data is represented using the XML format.

We look at how data is represented using the XML format.

Es wird eine Einführung in die Grundkonzepte der Extensible Markup Language XML gegeben. Ausgehend von der Grundidee und dem hisotrischen Hintergrund werden die syntaktischen regeln von XML und von DTDs besprochen und die Begriffe der Wohlgeformtheit und Gültigkeit eingeführt. Als konkrete praxisrelevante Beispiele werden spezielle XML-Formate aus dem Bereich der digitalen Medien eingeführt, nämlich SMIL als mit Multimedia-Playern abspielbares Format für Multimedia-Dokumente und RSS als technologische Basis für News-Feeds im Web und für Podcasts.

Background: R is the leading open source statistics software with a vast number of biostatistical and bioinformatical analysis packages. To exploit the advantages of R, extensive scripting/programming skills are required. Results: We have developed a software tool called R GUI Generator (RGG) which enables the easy generation of Graphical User Interfaces (GUIs) for the programming language R by adding a few Extensible Markup Language (XML) - tags. RGG consists of an XML-based GUI definition language and a Java-based GUI engine. GUIs are generated in runtime from defined GUI tags that are embedded into the R script. User-GUI input is returned to the R code and replaces the XML-tags. RGG files can be developed using any text editor. The current version of RGG is available as a stand-alone software (RGGRunner) and as a plug-in for JGR. Conclusion: RGG is a general GUI framework for R that has the potential to introduce R statistics (R packages, built-in functions and scripts) to users with limited programming skills and helps to bridge the gap between R developers and GUI-dependent users. RGG aims to abstract the GUI development from individual GUI toolkits by using an XML-based GUI definition language. Thus RGG can be easily integrated in any software. The RGG project further includes the development of a web-based repository for RGG-GUIs. RGG is an open source project licensed under the Lesser General Public License (LGPL) and can be downloaded freely at http://rgg.r-forge.r-project.org

Es wird eine Einführung in die Grundkonzepte der Extensible Markup Language XML gegeben. Ausgehend von der Grundidee und dem hisotrischen Hintergrund werden die syntaktischen regeln von XML und von DTDs besprochen und die Begriffe der Wohlgeformtheit und Gültigkeit eingeführt. Als konkrete praxisrelevante Beispiele werden spezielle XML-Formate aus dem Bereich der digitalen Medien eingeführt, nämlich SMIL als mit Multimedia-Playern abspielbares Format für Multimedia-Dokumente und RSS als technologische Basis für News-Feeds im Web und für Podcasts.

The Extensible Markup Language (XML) is extremely popular as a generic markup language for text documents with an explicit hierarchical structure. The different types of XML data found in today’s document repositories, digital libraries, intranets and on the web range from flat text with little meaningful structure to be queried, over truly semistructured data with a rich and often irregular structure, to rather rigidly structured documents with little text that would also fit a relational database system (RDBS). Not surprisingly, various ways of storing and retrieving XML data have been investigated, including native XML systems, relational engines based on RDBSs, and hybrid combinations thereof. Over the years a number of native XML indexing techniques have emerged, the most important ones being structure indices and labelling schemes. Structure indices represent the document schema (i.e., the hierarchy of nested tags that occur in the documents) in a compact central data structure so that structural query constraints (e.g., path or tree patterns) can be efficiently matched without accessing the documents. Labelling schemes specify ways to assign unique identifiers, or labels, to the document nodes so that specific relations (e.g., parent/child) between individual nodes can be inferred from their labels alone in a decentralized manner, again without accessing the documents themselves. Since both structure indices and labelling schemes provide compact approximate views on the document structure, we collectively refer to them as structural summaries. This work presents new structural summaries that enable highly efficient and scalable XML retrieval in native, relational and hybrid systems. The key contribution of our approach is threefold. (1) We introduce BIRD, a very efficient and expressive labelling scheme for XML, and the CADG, a combined text and structure index, and combine them as two complementary building blocks of the same XML retrieval system. (2) We propose a purely relational variant of BIRD and the CADG, called RCADG, that is extremely fast and scales up to large document collections. (3) We present the RCADG Cache, a hybrid system that enhances the RCADG with incremental query evaluation based on cached results of earlier queries. The RCADG Cache exploits schema information in the RCADG to detect cached query results that can supply some or all matches to a new query with little or no computational and I/O effort. A main-memory cache index ensures that reusable query results are quickly retrieved even in a huge cache. Our work shows that structural summaries significantly improve the efficiency and scalability of XML retrieval systems in several ways. Former relational approaches have largely ignored structural summaries. The RCADG shows that these native indexing techniques are equally effective for XML retrieval in RDBSs. BIRD, unlike some other labelling schemes, achieves high retrieval performance with a fairly modest storage overhead. To the best of our knowledge, the RCADG Cache is the only approach to take advantage of structural summaries for effectively detecting query containment or overlap. Moreover, no other XML cache we know of exploits intermediate results that are produced as a by-product during the evaluation from scratch. These are valuable cache contents that increase the effectiveness of the cache at no extra computational cost. Extensive experiments quantify the practical benefit of all of the proposed techniques, which amounts to a performance gain of several orders of magnitude compared to various other approaches.