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A method for maintaining document consistency based on similarity contents

Meziane, F and Rezgui, Y 2002, 'A method for maintaining document consistency based on similarity contents' , in: Natural language processing and information systems , Lecture notes in computer science (LNCS 2) , Springer Berlin / Heidelberg, Bonne, Germany, pp. 85-96.

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    Abstract

    The advent of the WWW and distributed information systems have made it possible to share documents between different users and organisations. However, this has created many problems related to the security, accessibility, right and most importantly the consistency of documents. It is important that the people involved have access to the most up-to-date version of the documents, retrieve the correct documents and should be able to update the documents repository in such a way that his or her document are known to others. In this paper we propose a method for organising, storing and retrieving documents based on similarity contents. The method uses techniques based on information retrieval, document summarisation and term extraction and indexing. This methodology is developed for the E-cognos project which aims at developing tools for the management and sharing of documents in the construction domain.

    Item Type: Book Section
    Editors: Andersson, B, Bergholtz, M and Johannesson, P
    Additional Information: The original publication is available at www.springerlink.com. Proceedings of 6th International Conference on Applications of Natural Language to Information Systems, NLDB 2002 Stockholm, Sweden, June 27–28 2002
    Themes: Subjects / Themes > Q Science > QA Mathematics > QA075 Electronic computers. Computer science
    Subjects outside of the University Themes
    Schools: Colleges and Schools > College of Science & Technology
    Colleges and Schools > College of Science & Technology > School of Computing, Science and Engineering
    Colleges and Schools > College of Science & Technology > School of Computing, Science and Engineering > Data Mining and Pattern Recognition Research Centre
    Publisher: Springer Berlin / Heidelberg
    Refereed: Yes
    ISBN: 9783540003076
    Related URLs:
    Depositing User: Prof Farid Meziane
    Date Deposited: 13 Feb 2009 12:09
    Last Modified: 20 Aug 2013 16:55
    URI: http://usir.salford.ac.uk/id/eprint/1730

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