Title :
A fuzzy logic system for classifying the contents of a database and searching consultations in natural language
Author :
Gómez, Ariel ; Ropero, Jorge ; Leon, óCarlos
Author_Institution :
Dept. of Electron. Technol., Seville Univ.
Abstract :
This paper presents a method for the classification of the contents in a database in order to answer to user consultations using natural language. Artificial intelligence (AI) is used to relate these consultations to the database contents. The system is based on a fuzzy logic engine to take advantage of its so suitable properties for this application and is ideal for sets of accumulated knowledge that can be built in hierarchic levels by a tree structure. The eventual aim of this system is the implementation of a virtual Web assistant for an Internet portal
Keywords :
artificial intelligence; database management systems; fuzzy logic; fuzzy systems; natural language interfaces; portals; query processing; Internet portal; artificial intelligence; database contents classification; fuzzy logic engine; fuzzy logic system; natural language; tree structure; user consultation searching; virtual Web assistant; Classification tree analysis; Databases; Electronic mail; Fuzzy logic; Internet; Level set; Natural languages; Portals; Postal services; Tree data structures; Artificial Intelligence; Fuzzy Logic; database; searching;
Conference_Titel :
Electrotechnical Conference, 2006. MELECON 2006. IEEE Mediterranean
Conference_Location :
Malaga
Print_ISBN :
1-4244-0087-2
DOI :
10.1109/MELCON.2006.1653201
