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

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.

Content

Author and article information

Contributors

Enrique Herrera-Viedma

Sergio Alonso

Francisco J. Cabrerizo

Antonio G. Lopez-Herrera

Carlos Porcel

Conference

Publication date: January 2007

Publication date (Print): January 2007

Pages: 1-6

Affiliations

[0001]Dept. of Computer Science and A.I., Faculty of Library Science, University of Granada, Granada, Spain

[0002]Dept. of Computer Science, Faculty of Computer Science, University of Jaen, Jaen, Spain

[0003]Dept. of Computing and Numerical Analysis, Faculty of Computer Science, University of Cordoba, Cordoba, Spain

Article

DOI: 10.14236/ewic/TLIR2007.4

SO-VID: e61601f3-15eb-42ab-9442-1de9a99e1245

License:

This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

Conference name: First International Workshop on Teaching and Learning of Information Retrieval (TLIR 2007)

Conference acronym: TLIR

Conference number: 1

Conference location: London, UK

Conference date: 10 January 2007

Conference sponsor: Electronic Workshops in Computing (eWiC)

Conference theme: Teaching and Learning of Information Retrieval

History

Product

1477-9358 BCS Learning & Development

Self URI (article page): https://www.scienceopen.com/hosted-document?doi=10.14236/ewic/TLIR2007.4

Self URI (journal page): https://ewic.bcs.org/

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

Abstract