【作者】 薛世钦； 李妮； 龚光红；

【Author】 Shiqin Xue;Ni Li;Guanghong Gong;School of Automation Science and Electrical Engineering, Beihang University (BUAA);

【机构】 北京航空航天大学自动化科学与电气工程学院；

【摘要】 复杂体系对抗仿真系统任务流程中涉及不同装备兵力模型,针对建模时快速查找作战行为模型的需求,提出了一种基于知识图谱的作战行为模型匹配方法。通过爬虫等方式获取作战行为及作战装备领域知识,以Neo4j图数据库为存储载体,经过数据处理与清洗,构建了一个超过10000个实体和关系的作战领域知识图谱。基于构建的知识图谱开展作战行为模型匹配工作,采用Cypher语句匹配和筛选模型,再通过基于语义特征的模型匹配将筛选结果进行排序。经过原理验证与测试,此方法可以有效地实现作战行为模型的匹配,辅助任务流程建模的过程。更多还原

【Abstract】 The task flow of complex system countermeasure simulation system involves different equipment force models. In order to quickly find combat behavior models during modeling, a combat behavior model matching method based on knowledge graph was proposed. The domain knowledge of combat behavior and combat equipment is acquired by means of crawler, and a domain knowledge map of more than 10,000 entities and relations is constructed by using Neo4j graph database as the storage carrier after data processing and cleaning. Combat behavior model matching was carried out based on the constructed knowledge graph, and CYPHER statement matching and screening model were adopted, and then the screening results were sorted by model matching based on semantic features. Through principle verification and test, this method can effectively realize the match of combat behavior model and assist the process of mission flow modeling.更多还原