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Semantic search technology for information retrieval on the web

Lu, Joan and Rahman, Umair (2007) Semantic search technology for information retrieval on the web. International Journal of Agent-Oriented Software Engineering, 1 (2). pp. 225-243. ISSN 1746-1383

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Abstract

The fundamental issue of imprecise search results arises owing to the misrepresentation of data on the web. Although a large number of theoretical models have been reported in literature, their implementation in the real world is still at an initial stage. This research is a systematic investigation on the underlying basis of ontologies, intelligent agents and semantic mechanisms. A solution is to put into action, the envisioned, 'Semantic web', by annotating/manipulating web pages using XML-based technologies, creating ontology for providing an RDF vocabulary in a hierarchical class structure and developing an intelligent agent, which would be capable of database access, comparison and inference. The system designed here is to enable a machine to 'understand' the information it holds, which in turn would greatly facilitate smart searching. This paper presents that the system has been successfully implemented and achieves accurate search results.

Item Type: Article
Additional Information: UoA 23 (Computer Science and Informatics)
Subjects: Q Science > Q Science (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: Sara Taylor
Date Deposited: 29 Feb 2008 10:22
Last Modified: 09 Dec 2010 13:23
URI: http://eprints.hud.ac.uk/id/eprint/542

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