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http://dx.doi.org/10.9708/jksci.2020.25.04.011

A Study on Building Knowledge Base for Intelligent Battlefield Awareness Service  

Jo, Se-Hyeon (SW Team(C4I), Hanwha Systems Co.)
Kim, Hack-Jun (SW Team(C4I), Hanwha Systems Co.)
Jin, So-Yeon (SW Team(C4I), Hanwha Systems Co.)
Lee, Woo-Sin (SW Team(C4I), Hanwha Systems Co.)
Publication Information
Journal of the Korea Society of Computer and Information / v.25, no.4, 2020 , pp. 11-17 More about this Journal
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;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
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