Proceedings of the 2016 International Conference on Computer Science and Electronic Technology

Towards Ontology-Based Battlefield Information Fusion Framework for Decision Support

Authors
Xiaoli Li, Weihua Li, Youmiao Qu
Corresponding Author
Xiaoli Li
Available Online August 2016.
DOI
10.2991/cset-16.2016.11How to use a DOI?
Keywords
Ontology, battlefield information, decision support, JDL, OWL, Fusion
Abstract

Thorough awareness of battlefield situation is vital for combat while battlefield information is constantly changing and distributed. The commanders are faced with more complicated and dynamic situations to make decisions than ever before. Ontology technology has received increasing interest in computer science community because of its capability of knowledge representation, sharing, automatic reasoning, and reuse of heterogeneous information from multiple sources. In this paper, we discuss the role of ontology to facilitate high level fusion of battlefield information for decision support.

Copyright
© 2016, 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 2016 International Conference on Computer Science and Electronic Technology
Series
Advances in Computer Science Research
Publication Date
August 2016
ISBN
10.2991/cset-16.2016.11
ISSN
2352-538X
DOI
10.2991/cset-16.2016.11How to use a DOI?
Copyright
© 2016, 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  - Xiaoli Li
AU  - Weihua Li
AU  - Youmiao Qu
PY  - 2016/08
DA  - 2016/08
TI  - Towards Ontology-Based Battlefield Information Fusion Framework for Decision Support
BT  - Proceedings of the 2016 International Conference on Computer Science and Electronic Technology
PB  - Atlantis Press
SP  - 45
EP  - 48
SN  - 2352-538X
UR  - https://doi.org/10.2991/cset-16.2016.11
DO  - 10.2991/cset-16.2016.11
ID  - Li2016/08
ER  -