Proceedings of the 2013 The International Conference on Artificial Intelligence and Software Engineering (ICAISE 2013)

Research on the Conceptual Modeling Method Base on System Six-view and Ontology

Authors
Wanghu Sun, Yanqi Bai, Xueming Zhang, Chuang Gu
Corresponding Author
Wanghu Sun
Available Online August 2013.
DOI
10.2991/icaise.2013.49How to use a DOI?
Keywords
Six-view, ontology, equipment support, conceptual model
Abstract

With the application of simulation technology in the field of equipment support, how to solve the communication problems exist in the military field personnel and Simulation technicians has become a focus problem in the current research. On the basis of the research conceptual model approach, this paper puts forward a conceptual modeling method based on the system six-view and ontology. From the system environment, system components, system architecture, system status, system operation, system function, it completes the description of the conceptual model. Finally, this paper focuses on the analysis of equipment support system, uses the method to build a conceptual model.

Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2013 The International Conference on Artificial Intelligence and Software Engineering (ICAISE 2013)
Series
Advances in Intelligent Systems Research
Publication Date
August 2013
ISBN
978-90-78677-71-0
ISSN
1951-6851
DOI
10.2991/icaise.2013.49How to use a DOI?
Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Wanghu Sun
AU  - Yanqi Bai
AU  - Xueming Zhang
AU  - Chuang Gu
PY  - 2013/08
DA  - 2013/08
TI  - Research on the Conceptual Modeling Method Base on System Six-view and Ontology
BT  - Proceedings of the 2013 The International Conference on Artificial Intelligence and Software Engineering (ICAISE 2013)
PB  - Atlantis Press
SP  - 231
EP  - 234
SN  - 1951-6851
UR  - https://doi.org/10.2991/icaise.2013.49
DO  - 10.2991/icaise.2013.49
ID  - Sun2013/08
ER  -