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Semantic / Fuzzy Information Retrieval System

Semantic / Fuzzy Information Retrieval System

Mounira Chkiwa, Anis Jedidi, Faiez Gargouri
Copyright: © 2017 |Volume: 12 |Issue: 1 |Pages: 20
ISSN: 1554-1045|EISSN: 1554-1053|EISBN13: 9781522511618|DOI: 10.4018/IJITWE.2017010103
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MLA

Chkiwa, Mounira, et al. "Semantic / Fuzzy Information Retrieval System." IJITWE vol.12, no.1 2017: pp.37-56. http://doi.org/10.4018/IJITWE.2017010103

APA

Chkiwa, M., Jedidi, A., & Gargouri, F. (2017). Semantic / Fuzzy Information Retrieval System. International Journal of Information Technology and Web Engineering (IJITWE), 12(1), 37-56. http://doi.org/10.4018/IJITWE.2017010103

Chicago

Chkiwa, Mounira, Anis Jedidi, and Faiez Gargouri. "Semantic / Fuzzy Information Retrieval System," International Journal of Information Technology and Web Engineering (IJITWE) 12, no.1: 37-56. http://doi.org/10.4018/IJITWE.2017010103

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Abstract

In this paper, the authors present an overall description of their information retrieval system which makes a practical collaboration between Semantic Web and Fuzzy logic in order to have profit from their advantages in the information retrieval domain. Their system is dedicated for kids, for this reason the semantic/fuzzy collaboration materialized must be in the background of the information retrieval process because such category of users cannot certainly control semantic web technologies neither fuzzy logic commands. In this paper, the authors present the different services proposed by their system and how they use Semantic Web and Fuzzy logic to develop it. Evaluation tests of the system using universal measures show clearly its efficiency.

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