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SweoIG/TaskForces/CommunityProjects/LinkingOpenData - ESW Wiki

SweoIG/TaskForces/CommunityProjects/LinkingOpenData - ESW Wiki
News 2014-12-03: The 8th edition of the Linked Data on the Web workshop will take place at WWW2015 in Florence, Italy. The paper submission deadline for the workshop is 15 March, 2015. 2014-09-10: An updated version of the LOD Cloud diagram has been published. The new version contains 570 linked datasets which are connected by 2909 linksets. New statistics about the adoption of the Linked Data best practices are found in an updated version of the State of the LOD Cloud document. 2014-04-26: The 7th edition of the Linked Data on the Web workshop took place at WWW2014 in Seoul, Korea. The workshop was attended by around 80 people. Project Description The Open Data Movement aims at making data freely available to everyone. The goal of the W3C SWEO Linking Open Data community project is to extend the Web with a data commons by publishing various open data sets as RDF on the Web and by setting RDF links between data items from different data sources. Clickable version of this diagram. Demos

http://www.w3.org/wiki/SweoIG/TaskForces/CommunityProjects/LinkingOpenData

RDF Book Mashup The RDF book mashup demonstrates how Web 2.0 data sources like Amazon, Google or Yahoo can be integrated into the Semantic Web. The RDF book mashup makes information about books, their authors, reviews, and online bookstores available on the Semantic Web. This information can be used by RDF tools and you can link to it from your own Semantic Web data. Contents

Web Squared: Web 2.0 Five Years On - by Tim O'Reilly and John Battelle Five years ago, we launched a conference based on a simple idea, and that idea grew into a movement. The original Web 2.0 Conference (now the Web 2.0 Summit ) was designed to restore confidence in an industry that had lost its way after the dotcom bust. The Web was far from done, we argued. D2R Server – Publishing Relational Databases on the Semantic Web D2R Server is a tool for publishing relational databases on the Semantic Web. It enables RDF and HTML browsers to navigate the content of the database, and allows querying the database using the SPARQL query language. It is part of the D2RQ Platform. 1. About D2R Server #

Semantic Web Client Library The Sematic Web Client Library represents the complete Semantic Web as a single RDF graph. The library enables applications to query this global graph using SPARQL- and find(SPO) queries. To answer queries, the library dynamically retrieves information from the Semantic Web by dereferencing HTTP URIs, by following rdfs:seeAlso links, and by querying the Sindice search engine.

About DBpedia is a crowd-sourced community effort to extract structured information from Wikipedia and make this information available on the Web. DBpedia allows you to ask sophisticated queries against Wikipedia, and to link the different data sets on the Web to Wikipedia data. We hope that this work will make it easier for the huge amount of information in Wikipedia to be used in some new interesting ways.

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. Semantic Web Crawling: A Sitemap Extention Abstract This document describes an extension to the Sitemap protocol targeted at the efficient discovery and use of RDF data. The extension allows Data publishers to state where documents containing RDF data are located, and to advertise alternative means to access it, such as data dumps and SPARQL endpoints. Semantic Web clients and crawlers can use this information to choose the most efficient access method for the task they have to perform. Table of Contents

How to publish Linked Data on the Web This document provides a tutorial on how to publish Linked Data on the Web. After a general overview of the concept of Linked Data, we describe several practical recipes for publishing information as Linked Data on the Web. This tutorial has been superseeded by the book Linked Data: Evolving the Web into a Global Data Space written by Tom Heath and Christian Bizer. SPARQL Query Language for RDF W3C Recommendation 15 January 2008 New Version Available: SPARQL 1.1 (Document Status Update, 26 March 2013) The SPARQL Working Group has produced a W3C Recommendation for a new version of SPARQL which adds features to this 2008 version.

Publications scientifiques All publications from Proxem are available on HAL by Inria, the French open-access repository for scientific publishing. Une approche paresseuse de l’analyse sémantique ou comment construire une interface syntaxe-sémantique à partir d’exemples TALN 2010, MontréalThis article shows how to extract a syntax-semantics interface starting from an interchangeable dependency parser, many lexical resources and from samples associated with the semantic representations which one wishes to compute.

FOAF (software) FOAF logo. FOAF is a descriptive vocabulary expressed using the Resource Description Framework (RDF) and the Web Ontology Language (OWL). Computers may use these FOAF profiles to find, for example, all people living in Europe, or to list all people both you and a friend of yours know.[1][2] This is accomplished by defining relationships between people. Each profile has a unique identifier (such as the person's e-mail addresses, a Jabber ID, or a URI of the homepage or weblog of the person), which is used when defining these relationships. Tim Berners-Lee, in a 2007 essay,[3] redefined the Semantic web concept into the Giant Global Graph, where relationships transcend networks and documents. He considers the GGG to be on equal ground with the Internet and the World Wide Web, stating that "I express my network in a FOAF file, and that is a start of the revolution."

Resource Description Framework (RDF) / W3C Semantic Web Activity Overview RDF is a standard model for data interchange on the Web. RDF has features that facilitate data merging even if the underlying schemas differ, and it specifically supports the evolution of schemas over time without requiring all the data consumers to be changed. RDF extends the linking structure of the Web to use URIs to name the relationship between things as well as the two ends of the link (this is usually referred to as a “triple”). Using this simple model, it allows structured and semi-structured data to be mixed, exposed, and shared across different applications.

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