Research on simulation model description ontology and its matching model

doi:10.3778/j.issn.1002-8331.2008.30.002

Computer Engineering and Applications ›› 2008, Vol. 44 ›› Issue (30): 6-8.DOI: 10.3778/j.issn.1002-8331.2008.30.002

• 博士论坛 • Previous Articles Next Articles

Research on simulation model description ontology and its matching model

SONG Li-li,LI Qun,WANG Wei-ping

Department of Information System and Management，National University of Defense Technology，Changsha 410073，China

Received:2008-05-15 Revised:2008-07-23 Online:2008-10-21 Published:2008-10-21
Contact: SONG Li-li

仿真模型描述本体及其匹配模型研究

宋莉莉,李群,王维平

国防科技大学信息系统与管理学院系统工程系，长沙 410073

通讯作者: 宋莉莉

Abstract

Abstract: Web service has been the key enable technologies for large-scale resource sharing and application integration，and service-oriented distributed simulation is becoming a hot research topic in M&S.To solve the problem of simulation model description and discovery，semantics-oriented simulation model description ontology-OWL-SM is presented.Then based on the nature of simulation and the Levels of Conceptual Interoperability Models（LCIM），a matching model named “five types and five levels” is proposed to discover the simulation models，and similarity functions are introduced to rank simulation models.Especially，the dynamic behavior matching of simulation models and the key algorithm are studied.

Key words: distributed simulation, Service-Oriented Architecture（SOA）, ontology, dynamic behavior

摘要： Web服务技术已成为大范围内异构资源共享和应用集成的关键支撑技术，面向服务的分布式仿真开发也逐渐成为M&S领域的一个热门研究课题。针对现有Web服务描述和发现技术在支持仿真模型上存在的不足，提出了一个面向语义的仿真模型描述本体，在此基础上结合仿真的特征和仿真互操作层次模型，提出了“五个类型、五个层次”的匹配模型，引入了相似度计算函数对仿真模型的相似程度进行数值度量，并重点对仿真动态行为的匹配及其关键算法进行了深入研究。

关键词: 分布式仿真, 面向服务的体系结构, 本体, 动态行为

SONG Li-li,LI Qun,WANG Wei-ping. Research on simulation model description ontology and its matching model[J]. Computer Engineering and Applications, 2008, 44(30): 6-8.

宋莉莉,李群,王维平. 仿真模型描述本体及其匹配模型研究[J]. 计算机工程与应用, 2008, 44(30): 6-8.

[1]	YANG Quan. SVM Algorithm for N1+N2 Structure Syntax Relation Determination [J]. Computer Engineering and Applications, 2021, 57(20): 104-108.
[2]	GAO Jian, WANG An. Research on Ontology-Based Network Threat Intelligence Analysis Technology [J]. Computer Engineering and Applications, 2020, 56(11): 112-117.
[3]	LI Jinhai, HE Youshi, MA Yunlei, ZHOU Aiping. Research of Universal Model for Knowledge Representation Based on Multi-layer Domain Ontology [J]. Computer Engineering and Applications, 2020, 56(11): 149-155.
[4]	WANG Siyu, HE Jingsha, TENG Da. Access Control System Supporting Quantification and Protection of Privacy Information [J]. Computer Engineering and Applications, 2019, 55(16): 77-87.
[5]	QU Hanhua1, HUI Jianzhong1, HE Xianfeng2, WANG Muhua1, HE Xiaofeng1, FENG De’en1. Formal concept analysis model of meteorological services [J]. Computer Engineering and Applications, 2018, 54(9): 257-264.
[6]	YOU Yun1，2，3, WAN Changxuan1，3, CHEN Huangye1，3. Diversified commodity recommendation method considering correlation between objects [J]. Computer Engineering and Applications, 2018, 54(7): 70-76.
[7]	WANG Zhen. Engineering change impact analysis based on design knowledge ontology [J]. Computer Engineering and Applications, 2018, 54(5): 247-252.
[8]	ZHU Wenyue，LIU Zongtian. Emergency domain knowledge modeling based on event ontology [J]. Computer Engineering and Applications, 2018, 54(21): 148-155.
[9]	PENG Fei1, ZHANG Tao1, XU Weiguang1, ZHAO Min1, QIN Hengjia2. Security policy generation model of operating system based on ontology [J]. Computer Engineering and Applications, 2018, 54(2): 114-118.
[10]	XIN Yuanyuan, NIU Jun, XIE Zhijun, ZHANG Kaile, MAO Xinyi. Survey of implementation framework for microservices architecture [J]. Computer Engineering and Applications, 2018, 54(19): 10-17.
[11]	WANG Hong, ZHANG Hao, SHI Jinchuan. Research on domain ontology concept acquisition method based on Latent Dirichlet Allocation [J]. Computer Engineering and Applications, 2018, 54(13): 252-257.
[12]	WANG Jiahai, CHEN Yu. Data driven Job Shop production scheduling knowledge mining and optimization [J]. Computer Engineering and Applications, 2018, 54(1): 264-270.
[13]	HAN Xueren1, WANG Qingshan1, GUO Yong1, CUI Xingya2. Geographic ontology concept semantic similarity measure model based on BP neural network optimized by PSO [J]. Computer Engineering and Applications, 2017, 53(8): 32-37.
[14]	CHEN Heng1，2, LI Guanyu2, CHEN Xinying2，3. Modular thinking’s application in large scale ontology matching [J]. Computer Engineering and Applications, 2017, 53(8): 149-153.
[15]	BAO Xuguang, WANG Lizhen, CHEN Hongmei. Co-location-based site selection using ontologies [J]. Computer Engineering and Applications, 2017, 53(24): 15-22.

Research on simulation model description ontology and its matching model

仿真模型描述本体及其匹配模型研究

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics