Semantic Web Services discovery is commonly a heavyweight task, which has scalability issues when the number ofservices or the ontology complexity increase, because most approaches are based on Description Logics reasoning. Asa higher number of services becomes available, there is a need for solutions that improve discovery performance. Ourproposal tackles this scalability problem by adding a preprocessing stage based on two SPARQL queries that filter servicerepositories, discarding service descriptions that do not refer to any functionality or non-functional aspect requested bythe user before the actual discovery takes place. This approach fairly reduces the search space for discovery mechanisms,consequently improving the overall performance of this task. Furthermore, this particular solution does not provide yetanother discovery mechanism, but it is easily applicable to any of the existing ones, as our prototype evaluation shows.Moreover, proposed queries are automatically generated from service requests, transparently to the user. In order tovalidate our proposal, this article showcases an application to the OWL-S ontology, in addition to a comprehensiveperformance analysis that we carried out in order to test and compare the results obtained from proposed filters andcurrent discovery approaches, discussing the benefits of our proposal.
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