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A. F. Salam and Jason R. Stevens

"Semantic Web Technologies and E-Business: Toward the Integrated Virtual Organization and Business Process Automation"

Retrieved January 24, 2006, from http://www.w3.org/Submission/2004/
SUBM-RDQL-20040109/
0 Guan
Copyright ?© 2007, Idea Group Inc. Copying or distributing in print or electronic forms without written permission
of Idea Group Inc. is prohibited.
Chapter.XIII
Query.Formation.and.
Information.Retrieval.
with.Ontology
Sheng-Ue Guan, Brunel Un vers ty, UK
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.
Query Format on and Informat on Retr eval w th Ontology
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