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

被引：0
|
作者：
Zhu J. [1 ,2 ]
You X. [1 ]
Xia Q. [1 ]
机构：
[1] Institute of Geospatial Information, Information Engineering University, Zhengzhou
[2] 73021 Troops, Hangzhou
来源：
Wuhan Daxue Xuebao (Xinxi Kexue Ban)/Geomatics and Information Science of Wuhan University | 2019年 / 44卷 / 09期
基金：
中国国家自然科学基金;
关键词：
Battlefield environment elements; Conceptual semantics; Operational task ontology; Similarity;
D O I：
10.13203/j.whugis20170409
中图分类号：
学科分类号：
摘要：
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. © 2019, Research and Development Office of Wuhan University. All right reserved.
引用
收藏
页码：1407 / 1415
页数：8
相关论文
共 27 条
  • [1] Gao J., The 60 Anniversary and Prospect of Acta Geodaetica et Cartographica Sinica, Acta Geodaetica et Cartographica Sinica, 46, 10, pp. 1219-1225, (2017)
  • [2] Gao J., Military Surveying and Mapping Must Adhere to the Main Line of Knowledge Service, Military Surveying, 5, pp. 3-6, (2011)
  • [3] Hu D., Research on Battlefield Environment Information Supporting Operational Decision Making, Military Operations Research and Systems Engineering, 18, 2, pp. 43-47, (2004)
  • [4] Li L., Zhu H., Wang H., Et al., Semantic Analyses of the Fundamental Geographic Information Based on Formal Ontology-Examplifying Hydrologica Category, Acta Geodaetica et Cartographica Sinica, 37, 2, pp. 230-235, (2008)
  • [5] Gan Z., Tang X., Sun M., Research on Standard Catalogue Service for Battlefield Environment Information Based on Ontology, Journal of National University of Defense Technology, 31, 6, pp. 132-138, (2009)
  • [6] Gan Z., Tang X., Li H., Et al., Dynamic Data Model for Task-Oriented Synthetic Natural Environment, Journal of System Simulation, 23, 3, pp. 622-627, (2011)
  • [7] Lu X., Li S., Ma Q., Ontology Modeling of Synthetic Battlefield Environment Based on Context, Computer Engineering, 38, 4, pp. 272-274, (2012)
  • [8] Li H., Yuan Y., Meng C., Research on Geographic Information Web Service Composition Based on Task-Ontology, Computer Applications and Software, 25, 7, pp. 165-167, (2008)
  • [9] You X., Battlefield Environment Simulation, (2012)
  • [10] Wang S., Liu J., Gan J., A Preliminary Study on the Standardized Description of Operational Task, Military Operations Research and Systems Engineering, 20, 3, pp. 27-30, (2006)
123