On supporting weapon system information analysis with ontology model and text mining

Authors:
Jung-Whoan Choi;Seungwoo Lee;Dongmin Seo;Sa-Kwang Song;Hanmin Jung;Sang Hwan Lee;Pyung Kim
Affiliations:
Defense Agency for Technology and Quality, Seoul, Korea;Defense Agency for Technology and Quality, Seoul, Korea;Korea Institute of Science and Technology Information, Daejeon, Korea;Korea Institute of Science and Technology Information, Daejeon, Korea;Korea Institute of Science and Technology Information, Daejeon, Korea;Korea Institute of Science and Technology Information, Daejeon, Korea;Jeonju National University of Education, Jeonju, Korea
Venue:
ISMIS'12 Proceedings of the 20th international conference on Foundations of Intelligent Systems
Year:
2012

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Abstract

Issues and changes on weapon systems of a country is very critical to its adjacent countries and therefore each country needs to collect, analyze, and monitor them. Information analysis in defense domain requires very high accuracy due to the characteristics of the domain in view points of national security. However, it is impossible to manually analyze defense-related data with limited manpower because such data is huge and also updated and added frequently. In this paper, we present an implementation of a defense-domain information analysis supporting system, especially focusing on information analysis of weapon systems. It categorizes all weapon systems, extracts their specification data, descriptions, development, and status, and furthermore provides their trends based on ontology modeling and text mining.