Title :
CASTALIA: Architecture of a Fuzzy Metasearch Engine for Question Answering Systems
Author :
Serrano-Guerrero, Jesus ; Olivas, Jose A. ; Gallego, Jesus A. ; Romero, Francisco P. ; Soto, Andres
Author_Institution :
Dept. of Inf. Technol. & Syst., Univ. of Castilla-La Mancha, Ciudad Real, Spain
fDate :
Nov. 30 2009-Dec. 2 2009
Abstract :
The goal of this paper is to present the architecture of a metasearch engine called Castalia, still under development, which includes several underlying Q&A systems. Usually metasearch engines manage typical search engines like Google or Yahoo, but in this case the encapsulation of Q&A systems proposes new challenges that can be modeled by fuzzy logic apart from the other existing challenges such as the fuzzy modeling of temporal or causal questions.
Keywords :
fuzzy logic; information retrieval; search engines; CASTALIA; fuzzy logic; fuzzy metasearch engine; question answering system; Computer architecture; Data mining; Fuzzy logic; Fuzzy systems; Information processing; Information retrieval; Intelligent systems; Metasearch; Natural languages; Search engines; Fuzzy Logic; Metasearch engine; Question Answering System;
Conference_Titel :
Intelligent Systems Design and Applications, 2009. ISDA '09. Ninth International Conference on
Conference_Location :
Pisa
Print_ISBN :
978-1-4244-4735-0
Electronic_ISBN :
978-0-7695-3872-3
DOI :
10.1109/ISDA.2009.104
