Semantic search technology for information retrieval on the web

Zhongyu Lu, Umair Rahman

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)


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.

Original languageEnglish
Pages (from-to)225-243
Number of pages19
JournalInternational Journal of Agent-Oriented Software Engineering
Issue number2
Publication statusPublished - 1 Jan 2007


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