]> BibSonomy publications for /author/Kiefer/matchmaking http://www.bibsonomy.org/burst/author/Kiefer/matchmaking BibSonomy BuRST Feed for /author/Kiefer/matchmaking 2008-08-21T14:39:15+02:00 The Creation and Evaluation of iSPARQL Strategies for Matchmaking http://www.bibsonomy.org/bibtex/24058a55f996d8c24ef69c32f3c81ccdd/eswc2008 eswc2008 2008-05-28T14:49:57+02:00 evaluation information learning machine matchmaking query-processing-1 retrieval sparql
The Creation and Evaluation of iSPARQL Strategies for Matchmaking
Christoph Kiefer and Abraham Bernstein Proceedings of the 5th European Semantic Web Conference (2008)
to evaluation information learning machine matchmaking query-processing-1 retrieval sparql by eswc2008 on 2008-05-28 14:49:57 ]]> Berlin, HeidelbergProceedings of the 5th European Semantic Web ConferenceJuneLNCSThe Creation and Evaluation of iSPARQL Strategies for Matchmaking2008evaluation information learning machine matchmaking query-processing-1 retrieval sparql 2008-05-28 14:49:57.0This research explores our novel method for Semantic Web service matchmaking based on iSPARQL queries, which enable the user to query the Semantic Web with techniques from traditional information retrieval. The strategies for matchmaking which we develop and evaluate in the paper make use of a plethora of similarity measures and combination functions from SimPack -- our library of similarity measures for the use in ontologies. We show how our combination of structured and imprecise querying can be used to perform hybrid Semantic Web service matchmaking in simple and amazingly fast fashion. We analyze our approach thoroughly on a large OWL-S service test collection, and show how our initial strategies can be improved by applying machine learning algorithms such as regression, decision trees, or support vector machines to result in the most effective strategies for matchmaking. The Fundamentals of iSPARQL - A Virtual Triple Approach For Similarity-Based Semantic Web Tasks http://www.bibsonomy.org/bibtex/25af761051f5ee7543ac1606fbd91ea96/minguez minguez 2008-03-25T16:01:13+01:00 master matchmaking sparql
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 master matchmaking sparql by minguez on 2008-03-25 16:01:13 ]]> 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 Tasks48252007master matchmaking sparql 2008-03-25 16:01:13.0This 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.