Modeling ontology-based task knowledge in TTIPP

  • Authors:
  • Kwoting Fang

  • Affiliations:
  • Department of Information Management, National Yunlin University of science and Technology, Douliou, Yunlin, Taiwan, R.O.C.

  • Venue:
  • ICAI'07 Proceedings of the 8th Conference on 8th WSEAS International Conference on Automation and Information - Volume 8
  • Year:
  • 2007

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Abstract

The main purpose of this study was twofold. First, it adopted the theory of task ontology to build up a three-level mediating representation for a task analysis and the task of "Manage goods and materials" served as an example. Five phases, task analysis, task ontology, IDEF0 model, Petri net model, and PNML, are displayed for domain experts and can further transfer for computer to generate code. Second, from modeling standpoint, a methodology, called TTIPP, was provided to systemically analyze the process of the task and subtask, in terms of the inputs, outputs, mechanisms, controls, using IDEF0 and Petri net. It is hope that the results of task knowledge on emergency response for Debris-flow, represented by ontology, can give valuable and reusable problem solving process knowledge for person with the similar goals.