A multimedia web service matchmaker

Abstract EN

The full service approach for composing MaaS services 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 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.