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An agent related intelligent search technology on the Web information retrieval system

Lu, Joan, Rahman, Umair and Chen, Hua (2005) An agent related intelligent search technology on the Web information retrieval system. In: Proceedings of the Ninth International Conference on Computer Supported Cooperative Work in Design, 2005. IEEE, pp. 458-463. ISBN 1-84600-002-5

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Abstract

It is oftentimes the case that a frequent Web surfer, wishing to find something 'specific' to his or her particular search query, is presented with a vast number of possible search matches, out of which only a few are pertinent to what the surfer actually desires. If the machine knows what semantic data, not syntactic, is being provided on a Web page, then it can present the user with richer information and more accurate search results. A solution is to make use of the technologies that aim to achieve the vision of the 'the semantic Web' technology. This research is to use meta data (XML) in Web pages and manipulating it using RDF, through aids from an ontology and intelligent agents would make information content machine understandable and facilitate search facilities

Item Type: Book Chapter
Subjects: T Technology > T Technology (General)
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Schools: School of Computing and Engineering
School of Computing and Engineering > Diagnostic Engineering Research Centre
School of Computing and Engineering > Diagnostic Engineering Research Centre > Measurement System and Signal Processing Research Group
School of Computing and Engineering > Informatics Research Group
School of Computing and Engineering > Informatics Research Group > Software Engineering Research Group
School of Computing and Engineering > Informatics Research Group > XML, Database and Information Retrieval Research Group
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Depositing User: Briony Heyhoe
Date Deposited: 22 Jan 2009 12:07
Last Modified: 09 Dec 2010 13:36
URI: http://eprints.hud.ac.uk/id/eprint/3188

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