Name That Graph. Name That Graph or the need to provide a model and syntax extension to specify the provenance of RDF graphs.
Fabien Gandon (Twitter @fabien_gandon) and Olivier Corby, INRIA, W3C Member PDF Version. When querying or reasoning on metadata from the semantic web, the source of this metadata as well as a number of other characteristics (date, trust, etc.) can be of great importance. While the SPARQL query language provides a keyword to match patterns against named graphs, the RDF data model focuses on expressing triples. When querying or reasoning on metadata from the semantic web, the provenance of this metadata can be of great importance. The Missing link In SPARQL  when querying a collection of graphs, the GRAPH keyword is used to match patterns against named graphs. 01. 02. 03. 06. 07. ?
Figure 1. Unfortunately the syntax of a SPARQL source has no equivalent in terms of the RDF syntax. Likewise, statements can be made using the URI of a document as commonly done by annotations in OWL. 01.
Exploitation du RDF et du LOD. Maintenance du LOD. SPARQL + pubsubhubbub = sparqlPuSH. There have been lots of discussion recently regarding dynamics and notification in the Semantic Web realm, including various vocabularies for describing changes and approaches for notifying them – as Leigh recently blogged about it . Last month, while visiting Kno.e.sis , Pablo an I worked on an approach using pubsubhubbub for RDF changes notification, that I’m happy to announce today. The result is sparqlPuSH , an interface that can be plugged on any SPARQL endpoint and that broadcast notifications to clients interested in what’s happening in the store using the pubsubhubbub protocol. At a glance, anyone can register a particular query to the RDF store (e.g. list all microblog posts, or list any changes made by X, using the Changesets vocabulary ) and results are provided in an RSS / Atom feed that is then sync-ed using pubsubhubbub: each time new data corresponding the register query is added into the store, the store itself notifies the interested parties of such updates.
Retour/Résumé WWW2010. An Empirical Study of owl:sameAs Use in Linked Data - Web Scienc. Ding, Li and Shinavier, Joshua and Finin, Tim and McGuinness, Deborah L. (2010) owl:sameAs and Linked Data: An Empirical Study.
In: Proceedings of the WebSci10: Extending the Frontiers of Society On-Line, April 26-27th, 2010, Raleigh, NC: US. Linked Data is a steadily growing presence on the Web. In Linked Data, the description of resources can be obtained incrementally by dereferencing the URIs of resources via the HTTP protocol. The use of owl:sameAs further enriches the Linked Data space by declaratively supporting distributed semantic data integration at the instance level. When consuming Linked Data, users should be careful when handling owl:sameAs: in that URIs linked by owl:sameAs may not be appropriate for simple aggregation, and that recursively exploring owl:sameAs may lead to considerable network overhead. Interoperate with whom? Formality, Archaeology and the Semantic. Isaksen, Leif and Martinez, Kirk and Gibbins, Nicholas and Earl, Graeme and Keay, Simon (2010) Interoperate with whom?
Formality, Archaeology and the Semantic Web. In: Proceedings of the WebSci10: Extending the Frontiers of Society On-Line, April 26-27th, 2010, Raleigh, NC: US. The Semantic Web initiative has faced accusations that difficulties associated with its adoption can outweigh the perceived benefits of data-sharing. This paper discusses means by which data-driven microproviders – owners of the small but important datasets that tend to form the ‘long tail’ of academic data in the Humanities – can be helped to contribute to the Web of Data.
Repository Staff Only: item control page. Raleigh: Technical Papers. Wednesday, 2:00 – 3:30 PM Classification-Enhanced Ranking [PDF] Paul N.
Raleigh: Tutorials. Raleigh: Demonstrations. Session 1: Wednesday, 1:00-3:30 PM and 4:00–5:30 PM (Room 301AB) A FRAMEWORK FOR QUERYING GRAPH-BASED BUSINESS PROCESS MODELS Sherif Sakr and Ahmed Awad ZOOMRDF: SEMANTIC-DRIVEN FISHEYE ZOOMING ON RDF DATA Kang Zhang, Haofen Wang, Thanh Tran and Yong Yu DEBUGGING STANDARD DOCUMENT FORMATS Pierre Geneves and Nabil Layaida STRUCTURED AUDIO PODCASTS VIA WEB TTS SYSTEM Giulio Mori, M.
Raleigh: Posters. Bridging Structured and Unstructured Data ENTITY RELATION DISCOVERY FROM WEBTABLES AND LINKS Cindy Lin, Bo Zhao, Tim Weninger, Jiawei Han and Bing Liu EXPLOITING CONTENT REDUNDANCY FOR WEB INFORMATION EXTRACTION Pankaj Gulhane, Rajeev Rastogi, Srinivasan Sengamedu and Ashwin Tengli TABEX: WEB-SCALE KNOWLEDGE EXTRACTION FROM SEMI-STRUCTURED TABLES Eric Crestan and Patrick Pantel SOURCERANK: RELEVANCE AND TRUST ASSESSMENT FOR DEEP WEB SOURCES BASED ON INTER-SOURCE AGREEMENT Raju Balakrishnan and Subbarao Kambhampati.
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