Semantic Situation Reporting Mechanism Based on 4W'H Ontology Modeling in Battlefield

Authors

  • Naeem Iqbal Department of Computer Engineering, Jeju National University, Jeju-si 63243, Korea
  • Murad Ali Khan Department of Computer Engineering, Jeju National University, Jeju-si 63243, Korea
  • Atif Rizwan Department of Computer Engineering, Jeju National University, Jeju-si 63243, Korea
  • Do-Hyeun Kim Department of Computer Engineering, Jeju National University, Jeju-si 63243, Korea

Keywords:

Ontology, Battlefield Situations, Semantic Data Processing, Battlefield Tactics, Battlefield Terms

Abstract

 Recently, semantic ontologies have been considered essential in knowledge representation systems to form interactive user-centric query systems. Therefore, it is gaining significant importance in the battlefield situations domain to offer several services to military officials; for example, it enables military officials to deduce battlefield situations information to drive effective decisions in a short time during tactics. This paper presents a battlefield ontology based on a 4W'H architecture using battlefield terms to enhance the existing Army Tactical Command Information System (ATCIS) to intelligent ATCIS. Furthermore, we used a well-known ontology editor known as Protégé to design an ontology to report battlefield situations semantically and effectively. In addition, a use case is defined in order to reveal the effectiveness of the designed semantic ontology-based on 4W'H architecture.

Author Biography

Naeem Iqbal, Department of Computer Engineering, Jeju National University, Jeju-si 63243, Korea

Image of author Naeem Iqbal

Naeem Iqbal received the B.S. and M.S. degrees in computer science from COMSATS University Islamabad, Attock Campus, Punjab, Pakistan, in 2019. He is currently pursuing the Ph.D. degree with the Department of Computer Engineering, Jeju National University, Republic of Korea. He has professional experience in the software development industry and in academic as well. His research work mainly focused on AI-based intelligent systems, data science, big data analytics, machine learning, deep learning, analysis of optimization algorithms, the IoT, and blockchain-based secured applications. He has published more than 20 papers in peer-reviewed international journals and conferences. He is serving as a professional reviewer for various well-reputed journals and conferences.

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Published

2022-05-22

How to Cite

Iqbal, N., Khan, M. A., Rizwan, A., & Kim, D.-H. (2022). Semantic Situation Reporting Mechanism Based on 4W’H Ontology Modeling in Battlefield. Journal of Intelligent Pervasive and Soft Computing, 1(01), 25–31. Retrieved from https://journals.aipspub.com/index.php/jipsc/article/view/3

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Computer Science and Multidisciplinary research

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