朱杰, 游雄, 夏青. 利用作战任务本体计算战场环境要素语义相似性[J]. 武汉大学学报 ( 信息科学版), 2019, 44(9): 1407-1415. DOI: 10.13203/j.whugis20170409
引用本文: 朱杰, 游雄, 夏青. 利用作战任务本体计算战场环境要素语义相似性[J]. 武汉大学学报 ( 信息科学版), 2019, 44(9): 1407-1415. DOI: 10.13203/j.whugis20170409
ZHU Jie, YOU Xiong, XIA Qing. A Semantic Similarity Calculation Method for Battlefield Environment Elements Based on Operational Task Ontology[J]. Geomatics and Information Science of Wuhan University, 2019, 44(9): 1407-1415. DOI: 10.13203/j.whugis20170409
Citation: ZHU Jie, YOU Xiong, XIA Qing. A Semantic Similarity Calculation Method for Battlefield Environment Elements Based on Operational Task Ontology[J]. Geomatics and Information Science of Wuhan University, 2019, 44(9): 1407-1415. DOI: 10.13203/j.whugis20170409

利用作战任务本体计算战场环境要素语义相似性

A Semantic Similarity Calculation Method for Battlefield Environment Elements Based on Operational Task Ontology

  • 摘要: 如何根据作战任务需求为用户快速提供有针对性的有效数据,是战场环境数据保障实现主动服务必须解决的问题之一。针对作战任务与战场环境数据关联关系复杂,目前方法上存在缺少数据匹配语义表达、语义相关度及不同要素类语义权重量化等问题,提出了一种基于作战任务本体的战场环境要素语义相似性计算方法。利用本体方法确定作战任务与战场环境数据在概念语义上的逻辑关系,按照作战任务语义相关度划分战场环境要素,采用规则与案例相结合的推理技术建立语义相似性计算,从而量化战场环境要素实体语义权重。实验结果表明,该方法能有效提升战场环境数据组织的效率与精度。

     

    Abstract: How to provide the targeted effective data rapidly for users according to operational task demands is one of the problems that must be solved once battlefield environmental data guarantees to realize active service. Aiming at the complex incidence relation between operational tasks and battlefield environment data, it lacks the methods for the problems such as data matching semantic expression and quantified semantic correlation and semantic weight of different elements at present. Therefore, a calculation method on semantic similarity of battlefield environment elements based on operational task ontology is proposed. The logical relationship of conceptual semantics between operational tasks and battlefield environment data is confirmed with ontology method. The battlefield environment elements are divided according to task semantic relevancy, and the semantic similarity calculation is established through adopting the reasoning techniques of the combination of rules and cases. Thus we can quantify the entity semantic weight of battlefield environment elements. Experimental results demonstrate the feasibility of this method which can effectively improve the organization efficiency and precision of battlefield environment data.

     

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