Improving web-query processing through semantic knowledge

Authors:
Jordi Conesa;Veda C. Storey;Vijayan Sugumaran
Affiliations:
Estudis d'Informatica i Multimedia, Universitat Oberta de Catalunya, Rambla del Poblenou, 156 E-08018 Barcelona, Spain;Department of Computer Information Systems, J. Mark Robinson Collage of Business, Georgia State University, Box 4015 Atlanta, GA 30302, United States;School of Business Administration, Oakland University, Rochester, MI 48309, United States
Venue:
Data & Knowledge Engineering
Year:
2008

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Abstract

Although search engines are very useful for obtaining information from the World Wide Web, users still have problems obtaining the most relevant information when processing their web queries. Prior research has attempted to use different types of knowledge to improve web querying processing with various levels of success. This research presents a methodology for processing web queries that employs semantic knowledge about different application domains from ResearchCyc, as well as linguistic knowledge from WordNet. An analysis of different queries from different application domains using the semantic and linguistic knowledge illustrates how more relevant results can be obtained.