A GA-P Algorithm to Automatically Formulate Extended Boolean Queries for a Fuzzy Information Retrieval System

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@Article{Cordon:2000:MSC,

• author = "O. Cordon and F. {de Moya} and C. Zarco",
• title = "A {GA-P} Algorithm to Automatically Formulate Extended {Boolean} Queries for a Fuzzy Information Retrieval System",
• journal = "Mathware \& Soft Computing",
• year = "2000",
• volume = "7",
• number = "2-3",
• pages = "309--322",
• organisation = "European Society for Fuzzy Logic and Technology (EUSFLAT)",
• keywords = "genetic algorithms, genetic programming",
• ISSN = "1134-5632",
• URL = "http://sci2s.ugr.es/sites/default/files/ficherosPublicaciones/0450_MATHWARE_2000_07_02-03_18.pdf",
• URL = "http://eudml.org/doc/39209",
• broken = "http://ic.ugr.es/Mathware/index.php/Mathware/article/view/145",
• broken = "http://ic.ugr.es/Mathware/index.php/Mathware/article/viewFile/145/124",
• size = "14 pages",
• abstract = "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.",
• notes = "http://ic.ugr.es/Mathware/index.php/Mathware",

}

Genetic Programming entries for Oscar Cordon Felix de Moya Carmen Zarco Fernandez

Citations