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    Data Models for Knowledge Organization Tools: Evolution and Perspectives

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    Author
    Cordeiro, Maria Inês
    Slavic, Aida
    Editors
    López-Huertas, Marí­a J.
    Issue Date
    2002
    Submitted date
    2006-08-07
    Keywords
    Knowledge Organization
    Local subject classification
    knowledge organization systems
    controlled vocabularies
    data models
    standards
    
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    Show full item record
    Citation
    Data Models for Knowledge Organization Tools: Evolution and Perspectives 2002, 8:127-134
    Publisher
    Ergon Verlag
    URI
    http://hdl.handle.net/10150/105384
    Abstract
    This paper focuses on the need for knowledge organization (KO) tools, such as library classifications, thesauri and subject heading systems, to be fully disclosed and available in the open network environment. The authors look at the place and value of traditional library knowledge organization tools in relation to the technical environment and expectations of the Semantic Web. Future requirements in this context are explored, stressing the need for KO systems to support semantic interoperability. In order to be fully shareable KO tools need to be reframed and reshaped in terms of conceptual and data models. The authors suggest that some useful approaches to this already exist in methodological and technical developments within the fields of ontology modelling and lexicographic and terminological data interchange.
    Type
    Conference Paper
    Language
    en
    Collections
    DLIST

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