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

• Autores: Óscar Cordón García , Félix de Moya-Anegón , Carmen Zarco Fernández
• Localización: Mathware & soft computing: The Magazine of the European Society for Fuzzy Logic and Technology, ISSN-e 1134-5632, Vol. 7, Nº. 2-3, 2000, págs. 309-322
• Idioma: inglés
• Títulos paralelos:
  • Un algoritmo GA-P para formular automáticamente preguntas booleanas extendidas para sistemas de recuperación de información difusa
• Enlaces
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• Resumen

  • 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.