Publikation

OWLS-MX3: An Adaptive Hybrid Semantic Service Matchmaker for OWL-S

Matthias Klusch, Patrick Kapahnke

In: Proceedings of 3rd International Workshop on Service Matchmaking and Resource Retrieval in the Semantic Web. International Workshop on Service Matchmaking and Resource Retrieval in the Semantic Web (SMR2-2009) 3rd befindet sich ISWC October 25 Washington D.C. United States CEUR 525 CEUR-WS.org 2009.

Abstrakt

We present OWLS-MX3, the first adaptive hybrid semantic Web service matchmaker for OWL-S. It learns how to best combine logic-based, text similarity and ontological structure matching for hybrid semantic selection of OWL-S services to given queries. For this purpose, the matchmaker utilizes a SVM-based classifier which is learned over a training set of the test collection OWLS-TC3 off-line. In particular, it performs structural semantic matching to compensate for certain cases of text matching failures caused by the observed characteristic of many Semantic Web ontologies today of being rather mere is-a ontologies. Our comparative retrieval performance evaluation experiments based on standard measures for both binary and graded service relevance revealed a rather negative result: There is a slight but not significant improvement of performance over the non-adaptive variant OWLS-MX2 yet. On the other hand, its adaptation feature clearly renders OWLS-MX3, in principle, independent from any OWL-S test collection with referenced ontologies and any kind of matching filters that are to be properly (re- )combined by hand otherwise to reflect changes in the environment.

Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence