An Approach to Circumstantial Knowledge Management for Human-Like Interaction

Abstract

This paper proposes the design of a general-purpose domain-independent knowledge model formalizing and managing the circumstantial knowledge involved in the human interaction process, i.e., a Situation Model. Its design is aimed to be embodied into a human-like interaction system, thus enriching the quality of the interaction by providing context-aware features to the interaction system. The proposal differs from similar work in that it is supported by the spatio-temporal databases technology. Additionally, since the proposed model requires to be fed with real knowledge obtained from each specific interaction domain, this paper also proposes an edition tool for acquiring and managing that circumstantial knowledge. The tool also supports the simulation over the model to check the correctness and completeness of the acquired knowledge. Finally, some scenario examples are provided in order to illustrate how the Situation Model works, and to gain perspective on its future possibilities of application in different systems where context-aware services can make a difference.