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 1746-1383Metadata only available from this repository.
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.
|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
|Depositing User:||Sara Taylor|
|Date Deposited:||29 Feb 2008 10:22|
|Last Modified:||09 Dec 2010 13:23|
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