A Lightweight Prototype Implementation of SPARQL Filters for WSMO-based Discovery (Technical Report ISA-11-TR-01)

Abstract

Semantic Web Services discovery is commonly a heavyweight task, which has scal ability issues when the number of services or the ontology complexity increase, because most approaches are based on Description Logics reasoning. As more com plex services become available, there is a need for solutions that improve discovery performance. Our proposal tackles this scalability problem by adding a preprocess ing stage based on two SPARQL queries that filter service repositories, discarding service descriptions that do not refer to any property requested by the user before the actual discovery. By using this approach, the search space for discovery mech anisms is fairly reduced, consequently improving the overall performance of this task. Furthermore, this particular solution do not provide yet another discovery mechanism, but it is easily applicable to any of the existing ones. Moreover, pro posed queries are automatically generated from service requests, transparently to the user. In order to validate our proposal, a concrete application to a wsmo dis covery scenario is showcased in this paper. A comprehensive performance analysis is also presented in order to test and compare the results obtained from proposed queries and classical discovery approaches, discussing the benefits of our proposal.