A Software Tool to Teach the Performance of Fuzzy IR Systems based on Weighted Queries | Zendy

Enrique HerreraViedma | Zendy; Sergio Alonso | Zendy; Francisco Javier Cabrerizo | Zendy; A.G. LópezHerrera | Zendy; Carlos Porcel | Zendy

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A Software Tool to Teach the Performance of Fuzzy IR Systems based on Weighted Queries

Author(s) -

Enrique HerreraViedma,

Sergio Alonso,

Francisco Javier Cabrerizo,

A.G. LópezHerrera,

Carlos Porcel

Publication year - 2007

Publication title -

electronic workshops in computing

Language(s) - English

Resource type - Conference proceedings

ISSN - 1477-9358

DOI - 10.14236/ewic/tlir2007.4

Subject(s) - computer science , software , information retrieval , fuzzy logic , representation (politics) , search engine , world wide web , software engineering , artificial intelligence , programming language , law , political science , politics

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.

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