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Journal of Emerging Trends in Engineering and Applied Sciences (JETEAS)


Article Title: Combining Concept Search and Classical Search for Enhanced Focused Domain Specific Retrieval
by Ehab Abdelhamid, Samhaa R. El-Beltagy, and Ahmed Rafea

Information retrieval has shown huge impact on both research and industry, many contributions have been done in the area, and many commercial systems have been developed. Though, due to generality, information retrieval systems lack precision and focus. Thus, focused retrieval was proposed to fill the gap and satisfy domain specific search queries. The main goal of this work is to exploit document context and structure reflected by the segment breakdown of a document, to provide for focused retrieval. The proposed approach draws on work carried out in the area of semantic based search and combines it with a traditional retrieval model to achieve enhanced domain specific search. Results of experiments carried out to compare the proposed model to a traditional model as well as to a pure concept based model, are presented. The results clearly indicate the superiority of the proposed model. The proposed system accompanied with an ontology can support enterprise search and domain specific retrieval.
Keywords: concept based search, information retrieval, focused search, ontology, semantic web.
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ISSN: 2141-7016

Editor in Chief.

Prof. Gui Yun Tian
Professor of Sensor Technologies
School of Electrical, Electronic and Computer Engineering
University of Newcastle
United Kingdom



Copyright © Journal of Emerging Trends in Engineering and Applied Sciences 2010