Thèse de doctorat en Informatique
Soutenue en 2010
à Paris, CNAM .
Pas de résumé disponible.
An original approach for service discovery and composition based on semantic mediation and deductive reasonig
The Semantic Web as an extension of the current Web enables the emergence of a new generation of Web services, called Semantic Web Services (SWS), which the meaning of descriptions are well-defined for better enabling computers and people to work in cooperation. In this thesis, we propose a stratified meta-framework that we call BioMed allowing service mediation in the bioinformatic domain. Mediation in BioMed is threefold allowing semantic mediation considering heterogeneous semantic descriptions, ontological considering heterogeneous bio-ontologies and deductive enabling the processes of discovery and composition. We propose a semantic-driven approach to describe services based on canonical model and semantically annotate them based on a ontological meta-map created to represent the global and shared semantics of a network of biomedical ontologies. Two main classes of processes are adressed : service discovery and composition. Both of them rely on a Datalog deductive reasoning engine implemented as a deductive meta-service that enables to infer implicit semantic properties of services and augment the search space of satisfiable services in the discovery process and composable services in the composition process. In the empirical study, we report the size of the search space without and with reasoning tasks and quality of discovered services. Finally, we propose a set of techniques to classify the search space of satisfiable and composable services in order to identify the best services in terms of non-functional properties.