Building an AIML Chatter Bot Knowledge-Base Starting from a FAQ and a Glossary

Giovanni De Gasperis

Abstract


Chatter bots are software programs that emulate human conversation and can show human-like conversational behavior in limited knowledge domain if properly crafted. AIML, Artifcial Intelligence Markup Language, is a well known XML derived language to build chatter bot knowledge bases, in a context of case-based reasoning and textual pattern matching algorithms.
A design methodology will be explained based on a novel algorithm to automatically generate AIML knowledge bases starting from a frequently asked question free text fle and a glossary of terms.A generated demonstrator chatter bot using the Italian language will be shown.

Keywords


chatter bot human computer interaction

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DOI: https://doi.org/10.20368/1971-8829/414



Journal of e-Learning and Knowledge Society | ISSN (online) 1971 - 8829 | ISSN (paper) 1826 - 6223 © 2017 Je-LKS - Italian e-Learning Association (SIe-L).