OntoQuery-An Evolutionary Approach for Query Formation and Information Retrieval

OntoQuery-An Evolutionary Approach for Query Formation and Information Retrieval

Sheng-Uei Guan (National University of Singapore, Singapore), Chang Ching Chng (National University of Singapore, Singapore) and Fangming Zhu (National University of Singapore, Singapore)
Copyright: © 2004 |Pages: 21
DOI: 10.4018/978-1-59140-182-7.ch007
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This chapter proposes the establishment of OntoQuery in an m-commerce agent framework. OntoQuery represents a new query formation approach that combines the usage of ontology and keywords. This approach takes advantage of the tree pathway structure in ontology to form queries visually and efficiently. Also, it uses keywords to complete the query formation process more efficiently. Present query optimization techniques like relevance feedback use expensive iterations. The proposed information retrieval scheme focuses on using genetic algorithms to improve computational effectiveness. Mutations are done on queries formed in the earlier part by replacing terms with synonyms. Query optimization techniques used include query restructuring by logical terms and numerical constraints replacement. Also, the fitness function of the genetic algorithm is defined by three elements, number of documents retrieved, quality of documents, and correlation of queries. The number and quality of documents retrieved give the basic strength of a mutated query.

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