USING TAGS IN AN AIML-BASED CHATTERBOT TO IMPROVE ITS KNOWLEDGE

Fernando Mikic; Juan C Burguillo; Ana Peleteiro; Marta Rey-Lopez

doi:10.7494/csci.2012.13.2.123

Authors

Fernando Mikic Department of Telematics Engineering, University of Vigo, Campus Lagoas Marcosende s/n, 36310, Vigo (Spain),
Juan C Burguillo Department of Telematics Engineering, University of Vigo, Campus Lagoas Marcosende s/n, 36310, Vigo
Ana Peleteiro Department of Telematics Engineering, University of Vigo, Campus Lagoas Marcosende s/n, 36310, Vigo
Marta Rey-Lopez Consellera de Educación e O.U., Edificio Administrativo San Caetano, Santiago de Compostela

DOI:

https://doi.org/10.7494/csci.2012.13.2.123

Abstract

Nowadays, it is common to ﬁnd on the Internet diﬀerent conversational robots which interact with users simulating a natural language conversation. Among them, we can emphasize the chatterbots based on AIML language. In this paper we present an AIML based chatterbot that shows as its main contribution the use of tags and folksonomies. Thanks to its use, we can generate a context for each conversation, being able to maintain a state for each user in the system, and improving the adaptation capabilities of the bot.