Conversation quantization for conversational knowledge process

Authors:
Toyoaki Nishida
Affiliations:
Dept. of Intelligence Science and Technology, Graduate School of Informatics, Kyoto University, Kyoto, Japan
Venue:
DNIS'05 Proceedings of the 4th international conference on Databases in Networked Information Systems
Year:
2005

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Abstract

In this paper, I present a computational approach to understanding and augmenting the conversational knowledge process that is a collective activity for knowledge creation, management, and application where conversational communications are used as a primary means of interaction among participating agents. The key idea is conversation quantization, a technique of approximating a continuous flow of conversation by a series of conversation quanta that represent points of the discourse. Conversation quantization enables to implement a rather robust conversational system by basing it on a large amount of conversational quanta collected from the real world. I survey major results concerning capturing, accumulating, presenting, and understanding conversation quanta.