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Query Formation and Information Retrieval with Ontology

Query Formation and Information Retrieval with Ontology
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Author(s): Sheng-Uei Guan (Brunel University, UK)
Copyright: 2007
Pages: 14
Source title: Semantic Web Technologies and E-Business: Toward the Integrated Virtual Organization and Business Process Automation
Source Author(s)/Editor(s): A.F. Salam (The University of North Carolina at Greensboro, USA)and Jason Stevens (The University of North Carolina at Greensboro, USA)
DOI: 10.4018/978-1-59904-192-6.ch013

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Abstract

This chapter presents an ontology-based query formation and information retrieval system under the mobile commerce (m-commerce) agent framework. A query formation approach that combines the usage of ontology and keywords is implemented. This approach takes advantage of the tree structure in ontology to form queries visually and efficiently. It also uses additional aids such as keywords to complete the query formation process more efficiently. The proposed information retrieval scheme focuses on using genetic algorithms (GAs) to improve computational effectiveness. Other query optimization techniques used include query restructuring by logical terms and numerical constraints replacement.

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