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

页码：1407 / 1415

页数：8

共 27 条

[11]

Li J., Liu X., Ren Y., Et al., Operational Task Ontology and Task Planning, Fire Control and Command Control, 33, 1, pp. 53-55, (2008)

[12]

Cheng K., Che J., Zhang H., Et al., Formal Description of Operational Task and Its Process Expression, Command Control & Simulation, 34, 1, pp. 15-19, (2012)

[13]

Timpf S., The Need for Task Ontologies in Interoperable GIS

[14]

Pang T., Yuan X., Zhao X., Et al., Approach to Simulation Scenario Ontology Development Based on OWL, Journal of Air Force Engineering University (Natural Science Edition), 13, 6, pp. 35-39, (2012)

[15]

Long F., Zhao X., Method of Class Hierarchy for Combat Plan Ontology, Military Operations Research and Systems Engineering, 27, 4, pp. 60-63, (2013)

[16]

An Y., Bian F., Guan J., Design and Comparision of Geo Ontology in GIS, Geomatics and Information Science of Wuhan University, 31, 12, pp. 1108-1111, (2006)

[17]

Schwering A., Raubal M., Measuring Semantic Similarity Between Geospatial Conceptual Regions, International Conference on Geospatial Semantics, (2005)

[18]

Sun G., Huang J., Liu F., Conceptual Model of Battlefield Environmental (BE) Simulation Based on Ontology, Computer Science, 38, 2, pp. 214-217, (2011)

[19]

Gao Y., Wang F., Zhang Z., Et al., Ontology-Based Description and Simulation of Conceptual Model in Complex Electromagnetic Environment, Journal of Wuhan University of Technology, 36, 8, pp. 120-125, (2014)

[20]

Zheng M., Feng X., Jiang Y., Et al., A Formal Approach for Multiple Representations in GIS Based on DL Ontologies, Acta Geodaetica et Cartographica Sinica, 35, 3, pp. 261-266, (2006)

← 1 2 3 →