Meziane, F ORCID: https://orcid.org/0000-0001-9811-6914 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 |
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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: | Schools > School of Computing, Science and Engineering > Salford Innovation Research Centre |
Publisher: | Springer Berlin / Heidelberg |
Refereed: | Yes |
Series Name: | Lecture notes in computer science |
ISBN: | 9783540003076 |
Related URLs: | |
Depositing User: | Prof Farid Meziane |
Date Deposited: | 13 Feb 2009 12:09 |
Last Modified: | 16 Feb 2022 08:09 |
URI: | https://usir.salford.ac.uk/id/eprint/1730 |
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