Similarity index 9%" ontology-based automatic scoring framework for chemical simulation system"

被引：0

作者：

Gao, Dong ^{[1
]}

Xu, Xin ^{[1
]}

Ma, Xin ^{[1
]}

机构：

[1] College of Information Science and Technology, Beijing University of Chemical Technology, Beijing

来源：

Journal of Applied Sciences | 2013年 / 13卷 / 21期

关键词：

Automatic scoring framework; Chemical simulation system; Ontology;

D O I：

10.3923/jas.2013.4555.4559

中图分类号：

学科分类号：

摘要：

In recent years, chemical simulation systems have been widely used in operator training, chemical parameter optimization and implement of control strategy. However, it is difficult to evaluate the result of operator traimng, chemical parameter optimization, implement of control strategy objectively and comprehensively. In the study, an ontology-based automatic scoring framework is proposed for chemical simulation system. A scoring ontology is built in the framework for sharing and reuse of knowledge. Basing on the scoring ontology, the framework can supply evaluation of operation, performance of control loops, safety, production and consumption in the simulation system. The case study proved the efficiency, objectiveness, comprehensiveness of the framework. © 2013 Asian Network for Scientific Information.

引用

页码：4555 / 4559

页数：4

共 18 条

[1]

Borst W.N., Construction of Engineering Ontologies For Knowledge Sharing and Reuse, (1997)

[2]

Drozdowicz B., Quiros R., Schiliuk A., Cerro R., The structure of a real time dynamic simulator for training, Comput. Ind, 8, pp. 49-63, (1987)

[3]

Gruber T.R., A translation approach to portable ontology specification, Knowl. Acquisit, 5, pp. 199-220, (1993)

[4]

Gruber T.R., Toward principles for the design of ontologies used for knowledge sharing, Int. J. Hum. Comput. Stud, 43, pp. 907-928, (1995)

[5]

Kitamura Y., Mizoguchi R., An ontological analysis of fault process and category of faults, Proceedings of the 10th International Workshop On Principles of Diagnosis, pp. 118-128, (1999)

[6]

Kuraoka K., Batres R., An ontological approach to represent HAZOP information, Process Systems Engineering Laboratory, (2003)

[7]

Li Y.G., Yue J.C., Han F.Y., Automation determination system of operator training score in process simulation and training system, J. Qingdao Inst. Chem. Technol, 20, pp. 37-42, (1999)

[8]

Liu Z.Y., The Application of Virtual Reality In Chemical Technology Simulation, (2003)

[9]

Melli T., Leone H., Montagna J., Ortiz O., Scenna N., Vecchietti A., Cerro R., A steady state process simulator with a DBMS (SIMBAD), Comput. Ind, 8, pp. 13-35, (1987)

[10]

Perez A.G., Benjamins V.R., Overview of knowledge sharing and reuse components: Ontologies and problem-solving methods, Proceedings of the Workshop On Ontologies and Problem-Solving Methods: Lessons Learned and Future Trends, (1999)

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