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

Cordón, Oscar, Moya, Félix de, and Zarco, Carmen. "A GA-P algorithm to automatically formulate extended Boolean queries for a fuzzy information retrieval system.." Mathware and Soft Computing 7.2-3 (2000): 309-322. <http://eudml.org/doc/39209>.

@article{Cordón2000,
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.},
author = {Cordón, Oscar, Moya, Félix de, Zarco, Carmen},
journal = {Mathware and Soft Computing},
keywords = {Recuperación de información; Sistemas de información; Algoritmos genéticos; Conjuntos difusos; Algoritmos de aprendizaje; genetic algorithm; fuzzy retrieval model},
language = {eng},
number = {2-3},
pages = {309-322},
title = {A GA-P algorithm to automatically formulate extended Boolean queries for a fuzzy information retrieval system.},
url = {http://eudml.org/doc/39209},
volume = {7},
year = {2000},
}

TY - JOUR
AU - Cordón, Oscar
AU - Moya, Félix de
AU - Zarco, Carmen
TI - A GA-P algorithm to automatically formulate extended Boolean queries for a fuzzy information retrieval system.
JO - Mathware and Soft Computing
PY - 2000
VL - 7
IS - 2-3
SP - 309
EP - 322
AB - 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.
LA - eng
KW - Recuperación de información; Sistemas de información; Algoritmos genéticos; Conjuntos difusos; Algoritmos de aprendizaje; genetic algorithm; fuzzy retrieval model
UR - http://eudml.org/doc/39209
ER -