Title: Capturing a Conceptual Model for End-user Programming -Task Ontology as a Static User Model-
Authors: K. Seta, M. Ikeda, O. Kakusho, R. Mizoguchi
Reference: Proc. of UM'97, pp. 203-214

Abstract: To realize a human friendly conceptual level programming environment, it is very important to build a static user model based on the analysis, that is, what concept are most important for end-users when performing the task and which concepts of problem solving specification could be out of his/her consciousness. We have investigated a task ontology for building the static user model. By putting task ontology on the basis of Conceptual LEvel Programming Environment, CLEPE, it provides three major advantages as follows. (A) It provides human-friendly primitives in terms of which users can easily describe their own problem solving process (descriptiveness, readability). (B) The systems with task ontology can simulate the problem solving process at an abstract level in terms of conceptual level primitives (conceptual level operationality). (C) It provides ontology author with an environment for building task ontology so that he/she can build a consistent and useful ontology.

In this paper, firstly we briefly introduce the concept of task ontology. Secondly, CLEPE and its design principle is described. In CLEPE, one can represent his/her own problem solving knowledge and realize the conceptual-level execution.

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