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

fYear

2009

fDate

Nov. 30 2009-Dec. 2 2009

Firstpage

73

Lastpage

78

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ISDA.2009.104

Filename

5362892