Cross document ontology based information for multimedia retrieval

Dennis Reidsma, Jan Kuper, T. Declerck, H. Saggion, H. Cunningham

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    Abstract

    This paper describes the MUMIS project, which applies ontology based Information Extraction to improve the results of Information Retrieval in multimedia archives. It makes use of a domain specific ontology, multilingual lexicons and reasoning algorithms to automatically create a semantic annotation of sources. The innovative aspect is the use of a cross document merging algorithm that combines the information extracted from separate textual sources to produce an integrated, more complete, annotation of the material. This merging and unification process uses ontology based reasoning and scenarios which are extracted from annotated sources. The algorithms presented here have been implemented in a working demonstration prototype and have been applied on material from the Euro 2000 Soccer Championships
    Original languageEnglish
    Title of host publicationSupplementary proceedings of the ICCS'03
    EditorsB. Ganter, A. de Moor
    PublisherShaker Verlag
    Pages73-86
    ISBN (Print)3-8322-1705-3
    Publication statusPublished - 19 Jul 2003
    EventInternational Conference on Computational Science 2003 - Saint Petersburg, Russian Federation
    Duration: 2 Jun 20034 Jun 2003

    Conference

    ConferenceInternational Conference on Computational Science 2003
    Abbreviated titleICCS 2003
    CountryRussian Federation
    CitySaint Petersburg
    Period2/06/034/06/03

    Keywords

    • METIS-215161

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  • Cite this

    Reidsma, D., Kuper, J., Declerck, T., Saggion, H., & Cunningham, H. (2003). Cross document ontology based information for multimedia retrieval. In B. Ganter, & A. de Moor (Eds.), Supplementary proceedings of the ICCS'03 (pp. 73-86). Shaker Verlag.