A fuzzy semantic information retrieval system for transactional applications

Soriyan, H. A.; Aderounmu, G. A.; Ajayi, Anuoluwapo; Soriyan, Abimbola; Aderounmu, Adesola

Abstract

In this paper, we present an information retrieval system based on the concept of fuzzy logic to relate vague and uncertain objects with un-sharp boundaries. The simple but comprehensive user interface of the system permits the entering of uncertain specifications in query forms. The system was modelled and simulated in a Matlab environment; its implementation was carried out using Borland C++ Builder. The result of the performance measure of the system using precision and recall rates is encouraging. Similarly, the smaller amount of more precise information retrieved by the system will positively impact the response time perceived by the users.

Citation

Aderounmu, G. A., Soriyan, H. A., Ajayi, A., Soriyan, A., & Aderounmu, A. (2009). A fuzzy semantic information retrieval system for transactional applications. Data Science Journal, 8, 233-242. https://doi.org/10.2481/dsj.007-038

• Journal Article Type: Article
• Acceptance Date: Jun 2, 2009
• Publication Date: Oct 24, 2009
• Deposit Date: Apr 23, 2018
• Publicly Available Date: Apr 23, 2018
• Journal: Data Science Journal
• Electronic ISSN: 1683-1470
• Publisher: Ubiquity Press
• Peer Reviewed: Peer Reviewed
• Volume: 8
• Pages: 233-242
• DOI: https://doi.org/10.2481/dsj.007-038
• Keywords: fuzzy set, query, information, fuzzy inference engine, response time
• Public URL: https://uwe-repository.worktribe.com/output/992275
• Publisher URL: http://doi.org/10.2481/dsj.007-038