by Christoph Kiefer, Abraham Bernstein, Markus Stocker
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 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.
Reference:
The Fundamentals of iSPARQL - A Virtual Triple Approach For Similarity-Based Semantic Web Tasks (Christoph Kiefer, Abraham Bernstein, Markus Stocker), In The Semantic Web (Karl Aberer, Key-sun Choi, Natasha Noy, Dean Allemang, Kyung-il Lee, Lyndon J B Nixon, Jennifer Golbeck, Peter Mika, Diana Maynard, Guus Schreiber, Philippe Cudré-Mauroux, eds.), Springer, volume 4825, 2007.
Bibtex Entry:
@article{Kiefer2007,
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 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.},
author = {Kiefer, Christoph and Bernstein, Abraham and Stocker, Markus},
doi = {10.1007/978-3-540-76298-0\_22},
editor = {Aberer, Karl and Choi, Key-sun and Noy, Natasha and Allemang, Dean and Lee, Kyung-il and Nixon, Lyndon J B and Golbeck, Jennifer and Mika, Peter and Maynard, Diana and Schreiber, Guus and Cudr\'{e}-Mauroux, Philippe},
isbn = {3540762973,},
journal = {The Semantic Web},
keywords = {SML-LIB-BIBLIO,lang:ENG},
mendeley-tags = {SML-LIB-BIBLIO,lang:ENG},
pages = {295--309},
publisher = {Springer},
series = {LNCS},
title = {{The Fundamentals of iSPARQL - A Virtual Triple Approach For Similarity-Based Semantic Web Tasks}},
url = {http://iswc2007.semanticweb.org/papers/295.pdf},
volume = {4825},
year = {2007}
}