Inderscience PublishersInderscience PublishersInderscience Publishers
  PUBLISHERS OF DISTINGUISHED ACADEMIC, SCIENTIFIC AND PROFESSIONAL JOURNALS

Article Abstract

Title: Integration of ontological knowledge within the authoring and retrieval of multimedia metaobjects
  Author: Sonja Zillner, Werner Winiwarter   Email author(s)
  Address: Department of Distributed and Multimedia Systems, University of Vienna, Liebiggasse 4/3–4, A-1010 Vienna, Austria. ' Department of Scientific Computing, University of Vienna, Universitatsstrabe 5/9, A-1010 Vienna, Austria
  Journal: International Journal of Web and Grid Services 2005 - Vol. 1, No.3/4  pp. 397 - 415
  Abstract: To enable efficient authoring, management and access to multimedia content, media data has to be augmented by semantic metadata and functionality. Semantic representation has to be integrated with domain ontologies to fully exploit domain-specific knowledge. This knowledge can be used within the authoring process and for the efficient management of multimedia content. Also, this knowledge can be used for refining ambiguous user queries by closing the conceptual gap between the user and the information to be retrieved. In our previous research, we have introduced Enhanced Multimedia Metaobjects (EMMOs) as a new approach for semantic multimedia meta modelling, as well as the query algebra EMMA, which is adequate and complete with regard to the EMMO model. This paper illustrates how ontological knowledge can be used within the authoring process of EMMOs, integrated into the EMMO knowledge structures and exploited for refining EMMA queries.
  Keywords: web semantics; metadata; ontology; semantic modelling; multimedia content; query algebra; query refinement; enhanced multimedia metaobjects; semantic representation; domain ontologies; authoring process; metamodelling; web services.
  DOI: 10.1504/IJWGS.2005.008395
  Access for editors and complimentary subscribers       Access for Subscribers   Purchase this Paper        We welcome your comments about this paper Comment on the Paper