Combining Linguistic and knowledge-based engineering for information retrieval and information extraction

Paul E. van der Vet, Bas van Bakel

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    Abstract

    Controlled-term indexing (the method of choice for multimedia collections and still very popular for purely textual material), appears an expensive solution because it takes huge resources and manual indexing. It is not possible, however, to perform a well-founded asessment of various approaches to information retrieval. We discuss ways to improve controlled-term indexing and illustrate these by looking at the Condorcet project carried out at Twente by us and co-workers. We round off with a discussion that, we hope, will raise more questions than it answers.
    Original languageEnglish
    Title of host publicationLanguage Technology in Multimedia Information Retrieval
    Subtitle of host publicationProceedings of the Fourteenth Twente Workshop on Language Technology (TWLT14)
    EditorsDjoerd Hiemstra, Franciska de Jong, Klaus Netter
    Place of PublicationEnschede
    PublisherUniversity of Twente
    Pages59-69
    Publication statusPublished - 1 Feb 1998
    EventTwente Workshop on Language Technology, TWLT 14: Language Technology in Multimedia Information Retrieval - University of Twente, Enschede, Netherlands
    Duration: 7 Dec 19988 Dec 1998
    Conference number: 14

    Publication series

    NameTwente Workshop on Language Technology 14
    PublisherUniversity of Twente
    Number14
    ISSN (Print)0929-0672

    Workshop

    WorkshopTwente Workshop on Language Technology, TWLT 14
    Abbreviated titleTWLT
    CountryNetherlands
    CityEnschede
    Period7/12/988/12/98

    Keywords

    • IR-60418
    • Language Technology
    • Knowledge based systems
    • METIS-119342
    • Information Retrieval
    • Multi-media
    • Information Extraction

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