%0 Journal Article %1 keyhere %A Kiefer, Christoph %A Bernstein, Abraham %A Stocker, Markus %D 2008 %J The Semantic Web %K similarity sparql %P 295--309 %T The Fundamentals of iSPARQL: A Virtual Triple Approach for Similarity-Based Semantic Web Tasks %U http://dx.doi.org/10.1007/978-3-540-76298-0_22 %X 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 possibleto integrate customized similarity functions (CSF) into SPARQL to achieve good results for these tasks. Our first approachexploits virtual triples calling property functions to establish virtual relations among resources under comparison; the secondapproach uses extension functions to filter out resources that do not meet the requested similarity criteria; finally, ourthird technique applies new solution modifiers to post-process a SPARQL solution sequence. The semantics of the three approachesare formally elaborated and discussed. We close the paper with a demonstration of the usefulness of our iSPARQL frameworkin the context of a data integration and an ontology mapping experiment.

@article{keyhere, 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 possibleto integrate customized similarity functions (CSF) into SPARQL to achieve good results for these tasks. Our first approachexploits virtual triples calling property functions to establish virtual relations among resources under comparison; the secondapproach uses extension functions to filter out resources that do not meet the requested similarity criteria; finally, ourthird technique applies new solution modifiers to post-process a SPARQL solution sequence. The semantics of the three approachesare formally elaborated and discussed. We close the paper with a demonstration of the usefulness of our iSPARQL frameworkin the context of a data integration and an ontology mapping experiment.}, added-at = {2009-03-29T22:49:33.000+0200}, author = {Kiefer, Christoph and Bernstein, Abraham and Stocker, Markus}, biburl = {https://www.bibsonomy.org/bibtex/20bd9f3c45fbf2a35e9882c0bbee67cf3/kurtjx}, interhash = {cde7bd4003ebb6d8e19ecc31feece0c5}, intrahash = {0bd9f3c45fbf2a35e9882c0bbee67cf3}, journal = {The Semantic Web}, keywords = {similarity sparql}, pages = {295--309}, timestamp = {2009-03-29T22:49:33.000+0200}, title = {The Fundamentals of iSPARQL: A Virtual Triple Approach for Similarity-Based Semantic Web Tasks}, url = {http://dx.doi.org/10.1007/978-3-540-76298-0_22}, year = 2008 }