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Erschienen in:
2014 | OriginalPaper | Buchkapitel
A New Graphical Representation of the Chatterbots’ Knowledge Base
verfasst von : Maria das Graças Bruno Marietto, Rafael Varago de Aguiar, Wagner Tanaka Botelho, Robson dos Santos França
Erschienen in: Active Media Technology
Verlag: Springer International Publishing
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This paper discusses chatterbots that use the Pattern Recognition technique and the Artificial Intelligence Markup Language (AIML) regarding their design and implementation. Usually, chatterbot’s Knowledge Base (KB) is written with the AIML language, and it is based on the stimulus-response type block approach. Considering that the chatterbots’ KB might be a large collection of question-answer pairs, there is an increasing need of visual design proposals for the chatterbots’ dialogues. However, there is a lack of projects related to the chatterbots’ KB display. In order to fill this gap, this paper introduces a new graphical model called Dialogue Conceptual Diagram (DCD). It is a unified theoretical framework to describe the chatterbot’s knowledge in a graphical, intuitive and compact way. Finally, a subset of the ALICE’s KB was modeled using the DCDs, showing that DCD is a suitable framework to graphically represent the human-machine dialogues.