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dc.contributor Graduate Program in Computer Engineering.
dc.contributor.advisor Bener, Ayşe B.
dc.contributor.author İlhan, Savaş Erdem.
dc.date.accessioned 2023-03-16T10:06:18Z
dc.date.available 2023-03-16T10:06:18Z
dc.date.issued 2007.
dc.identifier.other CMPE 2007 I45
dc.identifier.uri http://digitalarchive.boun.edu.tr/handle/123456789/12504
dc.description.abstract As the number of available Web services increase finding appropriate Web services to fulfill a given request becomes an important task. Most of the current solutions and approaches in Web service discovery are limited in the sense that they are strictly defined, and they do not use the full power of semantic and ontological representation. Service matchmaking, which deals with similarity between service definitions, is highly important for an effective discovery. Studies have shown that use of semantic Web technologies improves the efficiency and accuracy of matchmaking process. In this research we focus on one of the most challenging tasks in service discovery and composition: Service matchmaking. We make use of current semantic Web technologies like OWL and OWL-S to describe services and define ontologies. We introduce an efficient matchmaking algorithm based on bipartite graphs. We have seen that bipartite matchmaking has advantages over other approaches in the literature for parameter pairing problem, which deals with finding the semantically matching parameters in a service pair. Our proposed algorithm ranks the services in a candidate set according to their semantic similarity to a certain request. Our matchmaker performs the semantic similarity assignment implementing the following approaches: Subsumption-based similarity, property-level similarity, similarity distance annotations and WordNet-based similarity. Our results show that the proposed matchmaker enhances the captured semantic similarity, providing a fine-grained approach in semantic matchmaking.
dc.format.extent 30cm.
dc.publisher Thesis (M.S.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2007.
dc.subject.lcsh Semantic Web.
dc.subject.lcsh Web services.
dc.title Semantic advanced matchmaker (SAM)
dc.format.pages xii, 79 leaves;


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