The Fundamentals of iSPARQL - A Virtual Triple Approach For Similarity-Based Semantic Web Tasks
From semanticweb.org
A paper written by Christoph Kiefer, Abraham Bernstein and Markus Stocker. It was presented at the ISWC2007+ASWC2007. It is about Applications of the Semantic Web technologies, Information integration, Ontology matching and integration, Ontology creation, search, extraction and evolution and Management of the Semantic Web data
[edit] Abstract
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 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 and complexity 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.
A linked list of all papers is provided in the article on ISWC2007+ASWC2007 papers. This article has originally been created from the ISWC 2007/ASWC 2007 metadata.
