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    Paradox in applications of semantic similarity models in information retrieval

    Access Status
    Fulltext not available
    Authors
    Dong, Hai
    Hussain, Farookh Khadeer
    Chang, Elizabeth
    Date
    2008
    Type
    Conference Paper
    
    Metadata
    Show full item record
    Citation
    Dong, Hai and Hussain, Farookh Khadeer and Chang, Elizabeth. 2008. Paradox in applications of semantic similarity models in information retrieval, in Ulieru, M. (ed), IT Revolutions 2008, Dec 17 2008, Venice, Italy: Institute of Electrical and Electronics Engineers (IEEE).
    Source Title
    Proceedings of the IT Revolutions 2008
    Source Conference
    IT Revolutions 2008
    ISBN
    9789639799387
    Faculty
    Curtin Business School
    Centre for Extended Enterprises and Business Intelligence
    School of Information Systems
    Remarks

    Copyright © 2008 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/20.500.11937/10921
    Collection
    • Curtin Research Publications
    Abstract

    Semantic similarity models are a series of mathematical models for computing semantic similarity values among nodes in a semantic net. In this paper we reveal the paradox in the applications of these semantic similarity models in the field of information retrieval, which is that these models rely on a common prerequisite ? the words of a user query must correspond to the nodes of a semantic net. In certain situations, this sort of correspondence cannot be carried out, which invalidates the further working of these semantic similarity models. By means of two case studies, we analyze these issues. In addition, we discuss some possible solutions in order to address these issues. Conclusion and future works are drawn in the final section.

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