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    Determining and satisfying search users real needs via socially constructed search concept classification

    20601_downloaded_stream_57.pdf (614.5Kb)
    Access Status
    Open access
    Authors
    Zhu, Dengya
    Dreher, Heinz
    Date
    2007
    Type
    Conference Paper
    
    Metadata
    Show full item record
    Citation
    Zhu, Dengya and Dreher, Heinz. 2007. : Determining and satisfying search users real needs via socially constructed search concept classification, in Chang, Elizabeth and Hussain, Farookh Khadeer (ed), 2007 Inaugural IEEE International Conference on Digital Ecosystems and Technologies (IEEE DEST), 21 Feb 2007, pp. 404-409. Cairns, Australia: IEEE.
    Source Title
    2007 Inaugural IEEE International Conference on Digital Ecosystems and Technologies (IEEE DEST)
    Source Conference
    2007 Inaugural IEEE International Conference on Digital Ecosystems and Technologies (IEEE DEST)
    DOI
    10.1109/DEST.2007.372006
    Faculty
    Curtin Business School
    School of Information Systems
    Remarks

    Copyright 2007 IEEE

    This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

    URI
    http://hdl.handle.net/20.500.11937/19431
    Collection
    • Curtin Research Publications
    Abstract

    The focus of the research is to disambiguate search query by categorizing search results returned by search engines and interacting with the user to achieve query and results refinement. A novel special search-browser has been developed which combines search engine results, the Open DirectoryProject (ODP) based lightweight ontology as navigator and classifier, and search results categorizing. Categories are formed based on the ODP as a predefined ontology and Lucene is to be employed to calculate the similarity between retrieved items of the search engine and concepts in the ODP. With theinteraction of users, the search-browser improves the quality of search results by excluding the irrelevant documents and ontologically categorizing results for user inspection.

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