Towards ontology construction for an industrial domain

This work presents the processes of knowledge acquisition and ontology construction for developing an expert system for monitoring and control of natural gas pipeline operations. Knowledge acquisition is the process of eliciting the cognitive mechanisms an expert uses in solving a particular application problem. And an ontology captures the shared conceptualizations that experts have about a particular area. Knowledge on the problem domain was acquired and analyzed using the inferential modeling technique. The analyzed knowledge was subsequently organized into an application ontology and represented in the knowledge modeling system. By formally representing the acquired knowledge in an application ontology, systematic organization of the knowledge elements implicit in the problem of monitoring and control of natural gas pipeline operations is achieved. The application ontology constructed can provide the basis for development of an expert system that can function as a decision support system for pipeline operators.

[1]  Luc Steels,et al.  Components of Expertise , 1990, AI Mag..

[2]  Timothy W. Finin,et al.  Enabling Technology for Knowledge Sharing , 1991, AI Mag..

[3]  Michael Uschold A semantic continuum on the semantic web , 2002, Knowl. Eng. Rev..

[4]  John McDermott,et al.  Preliminary steps toward a taxonomy of problem-solving methods , 1993 .

[5]  Thomas R. Gruber,et al.  A translation approach to portable ontology specifications , 1993, Knowl. Acquis..

[6]  Michael Uschold Where Are the Semantics in the Semantic Web? , 2003, AI Mag..

[7]  Christine W. Chan A Knowledge Modeling Technique for Construction of Knowledge and Databases in Industrial Applications , 2000 .

[8]  Christine W. Chan The development and application of a knowledge modelling technique , 1995, J. Exp. Theor. Artif. Intell..

[9]  Christine W. Chan Knowledge acquisition by conceptual modelling , 1992 .

[10]  Gintaras V. Reklaitis,et al.  A simulation—optimization framework for addressing combinatorial and stochastic aspects of an R&D pipeline management problem , 2000 .

[11]  H. C. Ti,et al.  Transient analysis of gas pipeline network , 1998 .

[12]  Lawrence Megan,et al.  Dynamic modeling and linear model predictive control of gas pipeline networks , 2001 .

[13]  B. Chandrasekaran,et al.  Generic Tasks in Knowledge-Based Reasoning: High-Level Building Blocks for Expert System Design , 1986, IEEE Expert.

[14]  Christine W. Chan,et al.  Development of an expert system for optimizing natural gas pipeline operations , 2000 .