A Study on Building Knowledge Base for Intelligent Battlefield Awareness Service (지능형 전장인식 서비스를 위한 지식베이스 구축 방안 연구)

Se-hyeon Jo (조세현); Hack-joon Kim (김학준); So-yeon Jin (진소연); Woo-sin Lee (이우신)

doi:10.9708/jksci.2020.25.04.011

A Study on Building Knowledge Base for Intelligent Battlefield Awareness Service

Journal of The Korea Society of Computer and Information
Abbr : JKSCI
2020, 25(4), pp.11-17
DOI : 10.9708/jksci.2020.25.04.011
Publisher : The Korean Society Of Computer And Information
Research Area : Engineering > Computer Science
Received : March 19, 2020
Accepted : April 6, 2020
Published : April 30, 2020

Se-hyeon Jo ¹, Hack-joon Kim ¹, So-yeon Jin ², Woo-sin Lee ²

¹한화시스템
²한화 시스템

Accredited

ABSTRACT

In this paper, we propose a method to build a knowledge base based on natural language processing for intelligent battlefield awareness service. The current command and control system manages and utilizes the collected battlefield information and tactical data at a basic level such as registration, storage, and sharing, and information fusion and situation analysis by an analyst is performed. This is an analyst's temporal constraints and cognitive limitations, and generally only one interpretation is drawn, and biased thinking can be reflected. Therefore, it is essential to aware the battlefield situation of the command and control system and to establish the intellignet decision support system. To do this, it is necessary to build a knowledge base specialized in the command and control system and develop intelligent battlefield awareness services based on it. In this paper, among the entity names suggested in the exobrain corpus, which is the private data, the top 250 types of meaningful names were applied and the weapon system entity type was additionally identified to properly represent battlefield information. Based on this, we proposed a way to build a battlefield-aware knowledge base through mention extraction, cross-reference resolution, and relationship extraction.

KEYWORDS

Battlefield Situation Awareness, Support of Decision Making, Knowledge Base, Named Entity Extraction, Knowledge Extraction, AI [요

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* References for papers published after 2023 are currently being built.

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Journal of The Korea Society of Computer and Information 2023 KCI Impact Factor : 0.65

A Study on Building Knowledge Base for Intelligent Battlefield Awareness Service

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Citation status

* References for papers published after 2023 are currently being built.

Journal of The Korea Society of Computer and Information 2023 KCI Impact Factor : 0.65

A Study on Building Knowledge Base for Intelligent Battlefield Awareness Service

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KEYWORDS

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* References for papers published after 2023 are currently being built.