A Multimedia Web Service Matchmaker
Sid Midouni1,2,
Youssef Amghar1, and Azeddine Chikh2
1Université de Lyon, CNRS
INSA-Lyon, France
2Département d'informatique,
Université Abou Bekr Belkaid-Tlemcen, Algérie
Abstract: 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.
Keywords: Semantic web services, information retrieval, service description, SAWSDL,
service matching.
Received July 27, 2015; accepted September 12, 2015