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An Intelligent Knowledge Treasure for Military Decision Support

An Intelligent Knowledge Treasure for Military Decision Support

Sanju Mishra, Sarika Jain
Copyright: © 2019 |Volume: 14 |Issue: 3 |Pages: 21
ISSN: 1548-1093|EISSN: 1548-1107|EISBN13: 9781522564041|DOI: 10.4018/IJWLTT.2019070105
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MLA

Mishra, Sanju, and Sarika Jain. "An Intelligent Knowledge Treasure for Military Decision Support." IJWLTT vol.14, no.3 2019: pp.55-75. http://doi.org/10.4018/IJWLTT.2019070105

APA

Mishra, S. & Jain, S. (2019). An Intelligent Knowledge Treasure for Military Decision Support. International Journal of Web-Based Learning and Teaching Technologies (IJWLTT), 14(3), 55-75. http://doi.org/10.4018/IJWLTT.2019070105

Chicago

Mishra, Sanju, and Sarika Jain. "An Intelligent Knowledge Treasure for Military Decision Support," International Journal of Web-Based Learning and Teaching Technologies (IJWLTT) 14, no.3: 55-75. http://doi.org/10.4018/IJWLTT.2019070105

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Abstract

Information integration is great for military operations because the range of pertinent information sources is significantly distinct and dynamic. This article develops an intelligent knowledge treasure comprised of military resource ontology and procedures, as a learning model for better interoperability of heterogeneous resources of the Indian military. This model can interpret and learn the context of military information automatically, thereby facilitating the military commanders with decision making in several operations, such as command and control, teaching and training, military coalition, situation awareness and many more. To design the military resource ontology, this article specifies the core concepts of the ontology based on terms derived from heterogeneous resources. WWW standard ontology language, OWL has been used to codify the ontology. This article develops an intelligent tool—“QueryOnto”—as an interface to the military resource ontology that provides a commander decision support service and demonstrates how to apply the military ontology in practice. The developed ontology has been verified and validated with the best known approaches and metrics available. The presented model is helpful for military commanders to train their juniors in a systematic way and will provide an efficient web-based learning of different military tasks in future.

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