Agent-oriented semantic discovery and mathcmaking of web services

The article deals with implementation issues of semantic matchmaking of Web services using intelligent middle agents in an electronic market (e-market). The idea of comparison of Web services according to their semantic descriptions is used to find the most appropriate service that meets user preferences. A comprehensive description not only of the syntax, but also of the semantic meaning of the service is used to find the most suitable match. The matchmaking procedure is based on the ontology of DAML-S (DARPA Agent Markup Language for Services), which is an extension of XML. DAML-S ontology contains the required semantic information for discovery and comparison as well as execution and monitoring of Web services. In order to find a service that satisfies user requirements, the intelligent software agent semantically compares descriptions of requested and advertised Web services using a matchmaking algorithm and an automated reasoner based on description logics. Thus, a user is provided with the most appropriate service that matches his requirements