Knowledge Discovery Group

Multimedia Document Ontology (M2DO)

We present an analysis of a large corpus of multimedia documents obtained from the web. From this corpus of documents, we have extracted the media assets and the relation information between the assets. In order to conduct our analysis, the assets and relations are represented using a formal ontology. The ontology not only allows for representing the structure of multimedia documents but also to connect with arbitrary background knowledge on the web. The ontology as well as the analysis serve as basis for implementing a novel search engine for multimedia documents on the web.

Ontology: The ontology files of M2DO are available in the Web Ontology Language (OWL). Below you find links to download the patterns of the ontology:

 

Publications:

  • L. Weiland and A. Scherp: A Novel Approach for Semantics-enabled Search of Multimedia Documents on the Web, Multimedia Modeling, Dublin, Ireland, Springer, January, 2014. [PDF] [Publisher]
  • L. Weiland, F. Hanser and A. Scherp: Requirements to a Search Engine for Semantic Multimedia Content, International Journal of Multimedia Data Engineering and Management, 5(4):53-65, 2014. [PDF] [Publisher]
  • D. Schneider, D. Stohr, J. Tingvold, A. B. Amundsen, L. Weiland, S. Kopf, W. Effelsberg, and A. Scherp: fulgeo—Towards an Intuitive User Interface for a Semantics-enabled Multimedia Search Engine, International Conference on Semantic Computing, IEEE, Newport Beach, CA, USA, 2014.
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