Enabling Interoperability between Multimedia Resources: An Ontology Matching Perspective

The semantic annotation of images can benefit from representations of useful concepts and the links between them as ontologies. Recently, several multimedia ontologies have been proposed in the literature as suitable knowledge models to bridge the well known semantic gap between low level features of image content and its high level conceptual meaning. Nevertheless, these multimedia ontologies are often dedicated to (or initially built for) particular needs or a particular application. Ontology matching, defined as the process of relating different heterogeneous models, we will argue, is a suitable approach to solve interoperability issues in semantic image annotation and retrieval. We propose a generic instance-based ontology matching approach, applied to an important semantic image retrieval issue: the bridging of the semantic gap by matching a multimedia ontology against a common-sense knowledge resource.