MuMIe: a new system for multimedia metadata interoperability

The recent growth of multimedia requires an extensive use of metadata for their management. However, a uniform access to metadata is necessary in order to take advantage of them. In this context, several techniques for achieving metadata interoperability have been developed. Most of these techniques focus on matching schemas defined by using one schema description language. The few existing matching systems that support schemas from different languages present some limitations. In this paper we present a new integration system supporting schemas from different description languages. Moreover, the proposed matching process makes use of several types of information (linguistic, semantic and structural) in a manner that increases the matching accuracy.