English   español  
Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/10351
logo share SHARE   Add this article to your Mendeley library MendeleyBASE
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL
Exportar a otros formatos:


A GA-P algorithm to automatically formulate extended Boolean queries for a fuzzy information retrieval system

AuthorsCordón García, Oscar; Moya Anegón, Félix de ; Zarco Fernández, Carmen
KeywordsFuzzy information retrieval
GA-P algorithms
Weighted queries
Automatic query learning
Issue Date2000
PublisherUniversidad Politécnica de Cataluña
CitationMathware & soft computing . 2000 Vol. 7 Núm. 2 [ -3 ]
Abstract[ES] Although the fuzzy retrieval model constitutes a powerful extension of the boolean one, being able to deal with the imprecision and subjectivity existing in the Information Retrieval process, users are not usually able to express their query requirements in the form of an extended boolean query including weights. To solve this problem, different tools to assist the user in the query formulation have been proposed. In this paper, the genetic algorithm-programming technique is considered to build an algorithm of this kind that will be able to automatically learn weighted queries --modeling the user s needs-- for a fuzzy information retrieval system by applying an off-line adaptive process starting from a set of relevant documents.
Publisher version (URL)https://upcommons.upc.edu/revistes/bitstream/2099/3586/1/18cordon.pdf
Appears in Collections:(CCHS-IPP) Artículos
Files in This Item:
File Description SizeFormat 
18cordon.pdf545,05 kBAdobe PDFThumbnail
Show full item record
Review this work

WARNING: Items in Digital.CSIC are protected by copyright, with all rights reserved, unless otherwise indicated.