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Linked Data: Evolving the Web into a Global Data Space

Linked Data: Evolving the Web into a Global Data Space
This book gives an overview of the principles of Linked Data as well as the Web of Data that has emerged through the application of these principles. The book discusses patterns for publishing Linked Data, describes deployed Linked Data applications and examines their architecture. The World Wide Web has enabled the creation of a global information space comprising linked documents. As the Web becomes ever more enmeshed with our daily lives, there is a growing desire for direct access to raw data not currently available on the Web or bound up in hypertext documents. Linked Data provides a publishing paradigm in which not only documents, but also data, can be a first class citizen of the Web, thereby enabling the extension of the Web with a global data space based on open standards - the Web of Data. In this Synthesis lecture we provide readers with a detailed technical introduction to Linked Data.

http://linkeddatabook.com/editions/1.0/

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Linked Data - Design Issues Up to Design Issues The Semantic Web isn't just about putting data on the web. It is about making links, so that a person or machine can explore the web of data. With linked data, when you have some of it, you can find other, related, data. Like the web of hypertext, the web of data is constructed with documents on the web. OWL 2 Web Ontology Language Primer (Second Edition) W3C Recommendation 11 December 2012 This version: Latest version (series 2): Latest Recommendation: URI Design Principles: Creating Persistent URIs for Government Linked Data Version: 23 October 2013 Table of Contents Goals for Persistent Open Government Data URIsURI Design OverviewExample Persistent URIs for Government Linked DataReferences & Resources

W3C Data Activity - Building the Web of Data More and more Web applications provide a means of accessing data. From simple visualizations to sophisticated interactive tools, there is a growing reliance on the availability of data which can be “big” or “small”, of diverse origin, and in different formats; it is usually published without prior coordination with other publishers — let alone with precise modeling or common vocabularies. The Data Activity recognizes and works to overcome this diversity to facilitate potentially Web-scale data integration and processing. It does this by providing standard data exchange formats, models, tools, and guidance. The overall vision of the Data Activity is that people and organizations should be able to share data as far as possible using their existing tools and working practices but in a way that enables others to derive and add value, and to utilize it in ways that suit them.

Term-based thesauri and SKOS (Part 1) I'm currently doing a piece of work on representing a thesaurus as linked data. I'm working on the basis that the output will make use of the SKOS model/RDF vocabulary. Some of the questions I'm pondering are probably SKOS Frequently Asked Questions, but I thought it was worth working through my proposed solution and some of the questions I'm pondering here, partly just to document my own thought processes and partly in the hope that SKOS implementers with more experience than me might provide some feedback or pointers. Standards W3C standards define an Open Web Platform for application development that has the unprecedented potential to enable developers to build rich interactive experiences, powered by vast data stores, that are available on any device. Although the boundaries of the platform continue to evolve, industry leaders speak nearly in unison about how HTML5 will be the cornerstone for this platform. But the full strength of the platform relies on many more technologies that W3C and its partners are creating, including CSS, SVG, WOFF, the Semantic Web stack, XML, and a variety of APIs. W3C develops these technical specifications and guidelines through a process designed to maximize consensus about the content of a technical report, to ensure high technical and editorial quality, and to earn endorsement by W3C and the broader community. If you are learning about Web technology, you may wish to start with the introduction below, and follow links for greater detail.

RDF 1.1 Primer Abstract This primer is designed to provide the reader with the basic knowledge required to effectively use RDF. It introduces the basic concepts of RDF and shows concrete examples of the use of RDF. Secs. 3-5 can be used as a minimalist introduction into the key elements of RDF.

Web of Linked Data Here follows a quick introduction to the notions of Semantic Web, Linked Data and the Linking Open Data initiative. Semantic Web The Semantic Web provides a common framework that allows data to be shared and reused across application, enterprise, and community boundaries. This fosters the opportunity of creating a next generation world-wide web of structured data which are not only understandable to humans (like the typical HTML page), but also understandable by computers. The data on the Semantic Web have explicitly defined structure (like in the databases) and semantics (like in the ontologies). This allows the computers to perform structured queries (like those in SQL) and infer new facts. Tools - Semantic Web Standards Overview This Wiki contains a collection of tool references that can help in developing Semantic Web applications. These include complete development environments, editors, libraries or modules for various programming languages, specialized browsers, etc. The goal is to list such tools and not Semantic Web applications in general (the interested reader may consider looking at the W3C SW Use Case Collection for those.) The tool content of this wiki is still to be maintained by the community and not by the W3C staff. If you are interested in adding to and/or modifying the relevant pages, please consult the separate Tool Contributors’ page.

Download SPARQL results into spreadsheet Download SPARQL results into spreadsheet SPARQL endpoint: SPARQL query: PREFIX owl: < PREFIX xsd: < PREFIX rdfs: < PREFIX rdf: < PREFIX foaf: < PREFIX dc: < PREFIX : < PREFIX dbpedia2: < PREFIX dbpedia: < PREFIX skos: < Endpoints that have worked successfully with this form: DBpedia Movie Database Gutenberg Metadata Information about the Web-based Systems Group @ Freie Universitat Berlin Semantic Web I have an idea that I think is very important but I haven’t yet polished to the point where I’m comfortable sharing it. I’m going to share it anyway, unpolished, because I think it’s that useful. So here I am, handing you a dull, gray stone, and I’m saying there’s a diamond inside. Maybe even a dilithium crystal. My hope is that a few experts will see what I see and help me safely extract it.

The Elephant was a Trojan Horse: On the Death of Map-Reduce at Google : Paper Trail Note: this is a personal blog post, and doesn’t reflect the views of my employers at Cloudera Map-Reduce is on its way out. But we shouldn’t measure its importance in the number of bytes it crunches, but the fundamental shift in data processing architectures it helped popularise. This morning, at their I/O Conference, Google revealed that they’re not using Map-Reduce to process data internally at all any more. We shouldn’t be surprised. The writing has been on the wall for Map-Reduce for some time.

Berners-Lee: Weaving the Web Supplementary material to the book The original design and ultimate destiny of the World Wide Web, by its inventor Buy: from Amazon.com (paperback), Barnes & Noble (paperback), Booksamillion (paperback), Borders (paperback), Powells (paperback), or Wordsworth(paperback). * This book is written to address the questions most people ask - From "What were you thinking when you invented it?" Feeds Maybe you have just a wrong url. Go to first to see if the error persists. If you get the error again check that you:

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