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Knowledge Base L-V-C Mapping Method

Authors:
Dong-Jae Lee
Yun-Hee Son
Kyu-Chul Lee

Keywords: LVC; Ontology; Knowledge Base; Keyword expansion; Keyword Extraction

Abstract:
The defense training system uses an L (Live) system for practical training, V (Virtual) system for virtual training, and C (Constructive) system for combat command training. Recently, research to integrate the L-V-C training system has been under way to realize the same environment as an actual field. However, since the L-V-C integrated training system uses different middleware depending on the characteristics of L, V, and C, there is a problem with interoperability between middleware. The middleware used in each system is High-Level Architecture (HLA), Data Distribution Service (DDS), and Distribution Interactive Simulation (DIS). Each middleware uses a different data format: Federation Object Model (FOM), Topic, and Protocol Data Unit (PDU). In the case of FOM and PDU, there is a standard data format, but Topic does not specify a data format standard, so there is a problem with interoperability between heterogeneous middleware. In this paper, to solve the data interlocking problem of heterogeneous middleware, we constructed a knowledge base by extracting keywords based on the HLA FOM data format and extending it by ontology modeling. We also developed a knowledge base processing engine that supports interoperability between FOM and Topic using the built knowledge base and a weighted search algorithm.

Pages: 11 to 14

Copyright: Copyright (c) IARIA, 2018

Publication date: April 22, 2018

Published in: conference

ISSN: 2519-8386

ISBN: 978-1-61208-631-6

Location: Athens, Greece

Dates: from April 22, 2018 to April 26, 2018