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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. Furthermore, it might inspire new mechanisms for navigating, linking, and improving the encyclopedia itself. Upcoming Events News Call for Ideas and Mentors for GSoC 2014 DBpedia + Spotlight joint proposal (please contribute within the next days)We started to draft a document for submission at Google Summer of Code 2014: are still in need of ideas and mentors. The DBpedia Knowledge Base Knowledge bases are playing an increasingly important role in enhancing the intelligence of Web and enterprise search and in supporting information integration. Within the

Main Page 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. 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. RDF links enable you to navigate from a data item within one data source to related data items within other sources using a Semantic Web browser. The figures below show the data sets that have been published and interlinked by the project so far. Clickable version of this diagram. Project Pages Meetings & Gatherings See Also Demos 1. 2.

Creating, Deploying and Exploiting Linked Data Yes, because it facilitates: Broadening our perspectives (pivoting on data behind documents) Serendipitous Discovery of relevant things via the Web Exploitation of collective intelligence via Discourse, Discovery and Participation WordNet Encyclopedia of Earth 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. D2R Server is a tool for publishing the content of relational databases on the Semantic Web, a global information space consisting of Linked Data. Data on the Semantic Web is modelled and represented in RDF. Requests from the Web are rewritten into SQL queries via the mapping. 2. Browsing database contents A simple web interface allows navigation through the database's contents and gives users of the RDF data a “human-readable” preview. Resolvable URIs Following the Linked Data principles, D2R Server assigns a URI to each entity that is described in the database, and makes those URIs resolvable – that is, an RDF description can be retrieved simply by accessing the entity's URI over the Web. Content negotiation SPARQL endpoint and explorer 3.

Disco Hyperdata Browser The Disco - Hyperdata Browser is a simple browser for navigating the Semantic Web as an unbound set of data sources. The browser renders all information, that it can find on the Semantic Web about a specific resource, as an HTML page. This resource description contains hyperlinks that allow you to navigate between resources. News 04.03.2007: SemanticWebCentral provides another Linked Data browser called Objectviewer. 03.10.2007: OpenLink has published a new Data Web Browser which, like Disco, also enables you to browse Linked Data on the Web. 01.16.2007: Ivan Herman has written a Disco Bookmarklet. 1. The browser is a server-side application that can be used without installing anything on your machine. The screenshot below shows the browser user interface: You start browsing the Semantic Web by entering a URI into the navigation box. 2. The browser allows you to navigate an unbounded set of data sources. 3. The Semantic Web Client Library is multithreaded to allow faster retrieval. 4.

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