A document management methodology based on similarity contents

Meziane, F ORCID: https://orcid.org/0000-0001-9811-6914 and Rezgui, Y 2004, 'A document management methodology based on similarity contents' , Information Sciences, 158 , pp. 15-36.

[img]
Preview
PDF
Download (379kB) | Preview

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 in the documents management process have access to the most up-to-date version of 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 indexation 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: Article
Additional Information: Document consistency; Ontology; Similarity content
Themes: Subjects / Themes > Q Science > QA Mathematics > QA075 Electronic computers. Computer science
Subjects / Themes > Z Bibliography. Library Science. Information Resources > ZA Information resources > ZA4050 Electronic information resources
Subjects outside of the University Themes
Schools: Schools > School of Computing, Science and Engineering > Salford Innovation Research Centre
Journal or Publication Title: Information Sciences
Publisher: Elsevier
Refereed: Yes
ISSN: 0020-0255
Related URLs:
Depositing User: H Kenna
Date Deposited: 25 Sep 2007 10:27
Last Modified: 16 Feb 2022 07:53
URI: https://usir.salford.ac.uk/id/eprint/908

Actions (login required)

Edit record (repository staff only) Edit record (repository staff only)

Downloads

Downloads per month over past year