基于知识图谱的联合作战态势知识表示方法

doi:10.16182/j.issn1004731x.joss.19-FZ0304

摘要/Abstract

摘要： 机器缺乏理解和判断复杂作战态势的基本知识是态势智能认知的难点之一。概述了基于知识图谱的知识表示方法,分析了联合作战态势知识表示的特点和难点,提出了场景知识图谱的概念,描述了场景知识图谱的知识来源和基本内容,指出了面向特定作战场景的离散符号与连续向量相融合的知识联合表示方法是表示联合作战态势知识的有效途径。

关键词: 知识表示, 联合作战态势, 态势智能认知, 知识图谱, 场景知识图谱

Abstract: Lacking of common knowledge for understanding and judging complex situation of operation by machines is one of the difficulties in intelligent situation cognition. The knowledge representation methods based on knowledge graph are reviewed. The characteristics and difficulties of joint operation situation knowledge representation are analyzed. Moreover, the concept of scenario knowledge graph is presented, as well as the knowledge sources and basic content of scenario knowledge graph are described. This paper also points out that the joint knowledge representation method based on discrete symbols and continuous vectors in specific scenario is an effective way to express joint operation situation knowledge.

Key words: knowledge representation, joint operation situation, situation intelligence cognition, knowledge graph, scenario knowledge graph

中图分类号:

TP391.9

王保魁, 吴琳, 胡晓峰, 贺筱媛. 基于知识图谱的联合作战态势知识表示方法[J]. 系统仿真学报, 2019, 31(11): 2228-2237.

Wang Baokui, Wu Lin, Hu Xiaofeng, He Xiaoyuan. Knowledge Representation Method of Joint Operation Situation Based on Knowledge Graph[J]. Journal of System Simulation, 2019, 31(11): 2228-2237.

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