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Contribution Details

Type Conference or Workshop Paper
Scope Discipline-based scholarship
Published in Proceedings No
Title The Fundamentals of iSPARQL - A Virtual Triple Approach For Similarity-Based Semantic Web Tasks
Organization Unit
  • Christoph Kiefer
  • Abraham Bernstein
  • Markus Stocker
Item Subtype Original Work
Refereed Yes
Status Published in final form
Page Range 295 - 309
Event Title Proceedings of the 6th International Semantic Web Conference (ISWC)
Series Name Lecture Notes in Computer Science
Publisher Springer
Abstract Text This 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 Weg 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.
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