D.: Semantic-enriched service discovery

Automated techniques and tools are required to effec-tively locate services that fulfil a given user request. To this purpose, the use of semantic descriptions of services has been widely motivated and recommended for auto-mated service discovery under highly dynamic and context-dependent requirements in distributed environments. Our aim in this work is to propose a semantic-enriched frame-work to describe services and an ontology-based hybrid ap-proach where such framework is exploited combining to-gether different kinds of comparison strategies to provide a flexible and efficient matchmaking between service de-scriptions. For service discovery two matchmaking strate-gies are proposed: a deductive strategy based on Descrip-tion Logics, with a reasoning procedure exploiting ontology knowledge to assess the type of match between services; a similarity-based strategy, exploiting retrieval metrics to measure the degree of match between services.