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

J. Lu, U. Rahman, H. Chen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationProceedings of the 9th International Conference on Computer Supported Cooperative Work in Design 2005
EditorsWeiming Shen, Anne James, Kuo-Ming Chao, Muhammad Younas, Zongkai Lin, Jean-Paul Barthes
PublisherIEEE
Pages458-463
Number of pages6
Volume1
ISBN (Print)1846000025, 9781846000027
DOIs
Publication statusPublished - 6 Sep 2005
Event9th International Conference on Computer Supported Cooperative Work in Design - Coventry, United Kingdom
Duration: 24 May 200526 May 2005
Conference number: 9
https://dblp.org/db/conf/cscwd/cscwd2005-2.html

Conference

Conference9th International Conference on Computer Supported Cooperative Work in Design
Country/TerritoryUnited Kingdom
CityCoventry
Period24/05/0526/05/05
Internet address

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