A software tool to teach the performance of fuzzy IR systems based on weighted queries

Authors:
Enrique Herrera-Viedma;Sergio Alonso;Francisco J. Cabrerizo;Antonio G. Lopez-Herrera;Carlos Porcel
Affiliations:
Dept. of Computer Science and A.I., Faculty of Library Science, University of Granada, Granada, Spain;Dept. of Computer Science and A.I., Faculty of Library Science, University of Granada, Granada, Spain;Dept. of Computer Science and A.I., Faculty of Library Science, University of Granada, Granada, Spain;Dept. of Computer Science, Faculty of Computer Science, University of Jaen, Jaen, Spain;Dept. of Computing and Numerical Analysis, Faculty of Computer Science, University of Cordoba, Cordoba, Spain
Venue:
TLIR'07 Proceedings of the First international conference on Teaching and Learning of Information Retrieval
Year:
2007

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Abstract

This paper describes a software tool that allows us to teach students the principles and concepts of Fuzzy Information Retrieval Systems based on weighted queries. This tool is used in the course Information Retrieval Systems Based on Artificial Intelligence at the Faculty of Library and Information Science at the University of Granada. With this teaching tool students learn the management of the fuzzy weighted query languages which could be used in any conventional Web search engine to improve the representation of user information needs.