Kim Eun Gyung, Kim Seong Hoon, Park Choong Shik

The Transactions of the Korea Information Processing Society (1994 ~ 2000), Vol. 5, No. 3, pp. 662-670, Mar. 1998
10.3745/KIPSTE.1998.5.3.662,   PDF Download:

Abstract

In order to overcome the problems with first generation expert systems at the symbol level, recently various knowledge level development techniques of second generation expert systems have been proposed. But, these techniques are conceptual modelling techniques. This paper modifies and complements these conceptual modelling techniques and proposes a Task Object Modelling(TOM) technique as a practical knowledge level expert system development technique. This paper defines a Task Object(TO) as a knowledge unit consisted of a goal, execution conditions, behaviour knowledge, and so on. And, we define a Task Object Diagram(TOD) to depict structural, dynamic, and functional aspects of TO easily. We also define Inference Types as basic units to describe behaviour knowledge of TOs. In order to utilize the proposed TOM technique as not a simple conceptual modelling technique but a practical second generation expert system development technique, we implement a TOD editor, a TO editor, and TO processing algorithm based on the state of TOs. Also we implement a Inference Types Library, in which each inference type is corresponded to an IRE(Intelligent Rules Element) method, to transform the defined inference types into IRE methods automatically.

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