Semantic Web Multimedia Metadata Retrieval: A Music Approach

The World Wide Web hosts ever-increasing volumes of diverse data and associated services that cannot be fully exploited unless appropriate management and integration technologies are developed. To cover this need, the semantic Web was introduced as the second-generation WWW, enriched by machine-understandable data which supports the user in his tasks. The rapid growth of the Web has produced an explosion of the digital media availability, combining the media reproduction of the last decades, with easy and fast distribution. Therefore, an extensive use of metadata (the fundamental building block of the semantic Web) for digital media is required. An approach to multimedia metadata processing is proposed, using rule reasoning based on RDF model theory, so that users can issue semantic based query by interaction interface and achieve information sharing. RDF is widely used for data exchange and to publish data from database systems to the Web by providing input to content generators for Web pages. This paper describes a semantic Web-based application using RDF to query an online music metadatabase. The RDF mapping of the retrieved multimedia metadata is customized to achieve approximate and trustworthy query answering and content management.