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      Using Genetic Algorithms for Query Reformulation

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      proceedings-article
      BCS IRSG Symposium: Future Directions in Information Access 2007 (FDIA)
      Future Directions in Information Access
      28-29 August 2007
      Genetic algorithm, information retrieval, query reformulation
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            Abstract

            Nowadays, searching information in the web or in any kind of document collection has become one of the most frequent activities. However, user queries can be formulated in a way that hinders the recovery of the requested information. The objective of automatic query transformation is to improve the quality of the recovered information. This paper describes a new genetic algorithm used to change the set of terms that compose a user query without user supervision, by complementing an expansion process based on the use of a morphological thesaurus. We apply a stemming process to obtain the stem of a word, for which the thesaurus provides its different forms. The set of candidate query terms is constructed by expanding each term in the original query with the terms morphologically related. The genetic algorithm is in charge of selecting the terms of the final query from the candidate term set. The selection process is based on the retrieval results obtained when searching with different combination of candidate terms. The algorithm shows improvement over some other using standard collections.

            Content

            Author and article information

            Contributors
            Conference
            August 2007
            August 2007
            : 1-6
            Affiliations
            [0001]Dept. Software Engineering and AI

            Facultad de Informática

            C/ Profesor Jose García Santesmases

            University Complutense of Madrid
            Article
            10.14236/ewic/FDIA2007.15
            6518ef2b-ff84-4dbf-a109-738de98b3e76
            © José R. Pérez-Agüera. Published by BCS Learning and Development Ltd. BCS IRSG Symposium: Future Directions in Information Access 2007, Glasgow

            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/

            BCS IRSG Symposium: Future Directions in Information Access 2007
            FDIA
            Glasgow
            28-29 August 2007
            Electronic Workshops in Computing (eWiC)
            Future Directions in Information Access
            History
            Product

            1477-9358 BCS Learning & Development

            Self URI (article page): https://www.scienceopen.com/hosted-document?doi=10.14236/ewic/FDIA2007.15
            Self URI (journal page): https://ewic.bcs.org/
            Categories
            Electronic Workshops in Computing

            Applied computer science,Computer science,Security & Cryptology,Graphics & Multimedia design,General computer science,Human-computer-interaction
            Genetic algorithm,information retrieval,query reformulation

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