Enhanced discovery of web services using semantic context descriptions

Automatic discovery of services is a crucial task for the e-Science and e-Business communities. Finding a suitable way to address this issue has become one of the key points to convert the Web into a distributed source of computation, as they enable the location of distributed services to perform a required functionality. To provide such an automatic location, the discovery process should be based on a semantic match between a declarative description of a service being sought and a description being offered. This problem requires not only an algorithm to match these descriptions, but also a language to declaratively express the capabilities of services. This paper presents a context-aware ontology selection framework which allows an increase in precision of the retrieved results by taking contextual information into account.