]> BibSonomy publications for /author/Kiefer/2007 http://www.bibsonomy.org/burst/author/Kiefer/2007 BibSonomy BuRST Feed for /author/Kiefer/2007 2008-07-20T23:45:06+02:00 The Fundamentals of iSPARQL - A Virtual Triple Approach For Similarity-Based Semantic Web Tasks http://www.bibsonomy.org/bibtex/25af761051f5ee7543ac1606fbd91ea96/iswc2007 iswc2007 2007-11-07T19:13:58+01:00 2007 approach fundamentals isparql iswc research_03 semantic task triple virtual web
The Fundamentals of iSPARQL - A Virtual Triple Approach For Similarity-Based Semantic Web Tasks
Christoph Kiefer and Abraham Bernstein and Markus Stocker Proceedings of the 6th International Semantic Web Conference and 2nd Asian Semantic Web Conference (ISWC/ASWC2007), Busan, South Korea 295--308 (2007)
to 2007 approach fundamentals isparql iswc research_03 semantic task triple virtual web by iswc2007 on 2007-11-07 19:13:58 ]]> Berlin, HeidelbergProceedings of the 6th International Semantic Web Conference and 2nd Asian Semantic Web Conference (ISWC/ASWC2007), Busan, South Koreahttp://data.semanticweb.org/conference/iswc-aswc/2007/proceedingsNovember295--308LNCSThe Fundamentals of iSPARQL - A Virtual Triple Approach For Similarity-Based Semantic Web Tasks482520072007 approach fundamentals isparql iswc research_03 semantic task triple virtual web 2007-11-07 19:13:58.0This research explores three SPARQL-based techniques to solve Semantic Web tasks that often require similarity measures, such as semantic data integration, ontology mapping, and Semantic Web service matchmaking. Our aim is to see how far it is possible to integrate customized similarity functions (CSF) into SPARQL to achieve good results for these tasks. Our first approach exploits virtual triples calling property functions to establish virtual relations among resources under comparison; the second approach uses extension functions to filter out resources that do not meet the requested similarity criteria; finally, our third technique applies new solution modifiers to post-process a SPARQL solution sequence. The semantics of the three approaches are formally elaborated and discussed. We close the paper with a demonstration of the usefulness of our iSPARQL framework in the context of a data integration and an ontology mapping experiment.