DocumentCode :
2431342
Title :
CHARLIE: An AIML-based chatterbot which works as an interface among INES and humans
Author :
Mikic, Fernando A. ; Burguillo, Juan C. ; Llamas, Martín ; Rodríguez, Daniel A. ; Rodríguez, Eduardo
Author_Institution :
Telematics Eng. Dept., Univ. of Vigo, Vigo, Spain
fYear :
2009
fDate :
22-24 June 2009
Firstpage :
1
Lastpage :
6
Abstract :
INES (INtelligent Educational System) is a functional prototype of an online learning platform, which combines three essential capabilities related to e-learning activities. These capabilities are those concerning to a LMS (learning management system), a LCMS (learning content management system), and an ITS (intelligent tutoring system). To carry out all this functionalities, our system, as a whole, comprises a set different tools and technologies, as follows: semantic managing users (administrators, teachers, students...) and contents tools, an intelligent chatterbot able to communicate with students in natural language, an intelligent agent based on BDI (believes, desires, intentions) technology that acts as the brain of the system, an inference engine based on JESS (a rule engine for the Java platform) and ontologies (to modelled the user, his/her activities, and the learning contents) that contribute with the semantics of the system, etc. At the present paper we will focus on the chatterbot, CHARLIE (CHAtteR Learning Interface Entity), developed and used in the platform, which is an AIML-based (artificial intelligence markup language) bot. We will specifically address its performance and its contribution to INES.
Keywords :
Java; XML; belief maintenance; cooperative systems; human computer interaction; inference mechanisms; intelligent tutoring systems; ontologies (artificial intelligence); user interfaces; AIML-based chatterbot; BDI; CHARLIE; INES; ITS; JESS; Java platform; LCMS; XML; artificial intelligence markup language; chatter learning interface entity; e-learning activity; functional prototype; human computer interface; inference engine; intelligent educational system; intelligent tutoring system; learning content management system; natural language communication; online learning platform; ontologies content; rule engine; semantic managing user; Content management; Electronic learning; Engines; Humans; Intelligent agent; Intelligent systems; Least squares approximation; Natural languages; Prototypes; Technology management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
EAEEIE Annual Conference, 2009
Conference_Location :
Valencia
Print_ISBN :
978-1-4244-5385-6
Electronic_ISBN :
978-1-4244-5386-3
Type :
conf
DOI :
10.1109/EAEEIE.2009.5335493
Filename :
5335493
Link To Document :
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