Abstract
The lack of semantic descriptions for “web service properties” makes it difficult to find suitable web services. Current solutions are mostly based on broker/mediator agent systems. However, these techniques are syntactical, rather than semantics oriented. This article presents a semantic matching approach for discovering Semantic Web services through a broker-based semantic agent (BSA). The BSA includes knowledge-bases and several processing steps. The BSA’s knowledge-bases are concept, task, and process ontologies built to describe both functional and non-functional parameters of services. The BSA executes semantic-based matching algorithms to discover similar services through the semantic matching step, process equivalence task, and matching of quality of service parameters. Relevant services are ranked by client preferences utilizing the semantic descriptions of available services. Other matchmaker studies are reviewed and compared with the BSA. Performance of the BSA algorithm is compared with SAM using published data and an experimental setup. The results indicate that our approach is better and more effective in some respects.
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