Title: Semantic search technology for information retrieval on the web
Author: Zhongyu Lu, Umair Rahman
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.
Int. J. of Agent-Oriented Software Engineering, 2007 Vol.1, No.2, pp.225 - 243
Available online: 05 Jul 2007