Currently, the Web is an important part of people's personal, professional and social life and millions of services are becoming available online. At the same time many efforts are made to semantically describe Web Services and several frameworks have been proposed, i.e. WSMO, SAWSDL etc. The Web follows a decentralized architecture, thus all the services are available at some location; but finding this location remains an open issue. Many efforts have been proposed to solve the service discovery problem but none of them took up. In this work, a lightweight approach for service discovery is proposed. Our approach comprises of three main phases. Firstly, during the crawling phase the semantic service descriptions are retrieved and stored locally. Afterwards, in the homogenization phase the semantics of every description are mapped to a service meta-model and the resulting triples are stored in a RDF repository. Finally, at the search phase, users are enabled to query the underlying repository and find online services. © 2009 Springer Berlin Heidelberg.
CITATION STYLE
Giantsiou, L., Loutas, N., Peristeras, V., & Tarabanis, K. (2009). Semantic service search engine (S3e): An approach for finding services on the web. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5736 LNAI, pp. 316–325). https://doi.org/10.1007/978-3-642-04754-1_33
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