A Multimedia Web Service Matchmaker

The full service approach for composing (MaaS) Multimedia as a Service in multimedia data retrieving, which we have proposed in a previous work, is based on a four phases process: description; matching; clustering; and restitution. In this article, we show how MaaS services are matched to meet user needs. Our matching algorithm consists of two steps: (1) the domain matching step is based on the calculation of similarity degrees between the domain description of MaaS services and user queries; (2) the multimedia matching step compares the multimedia description of MaaS services with user queries. The multimedia description is defined as a SPARQL Protocol and RDF Query Language(SPARQL) query over multimedia ontology. An experimentation in a medical domain allowed to evaluate the solution. The results indicate that using both domain and multimedia matching considerably improve the performance of multimedia data retrieving systems.