Title: Semantic search technology for information retrieval on the web

Authors: Zhongyu Lu, Umair Rahman

Addresses: School of Computing and Engineering, University of Huddersfield, UK. ' School of Computing and Engineering, University of Huddersfield, UK

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.

Keywords: semantic web; agents; eXtensible Markup Language; XML; Resource Description Framework; RDF; DARPA Agent Mark-up Language; DAML; information access; information retrieval; agent-oriented software; agent-based systems; multi-agent systems; ontologies; intelligent agents; semantic mechanisms; internet.

DOI: 10.1504/IJAOSE.2007.014408

International Journal of Agent-Oriented Software Engineering, 2007 Vol.1 No.2, pp.225 - 243

Published online: 05 Jul 2007 *

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