DocumentCode
495272
Title
Ontology Based Collaborative Simulation Framework Using HLA and Web Services
Author
Hu, Jialun ; Zhang, Heming
Author_Institution
Nat. CIMS Eng. Res. Center, Tsinghua Univ., Beijing, China
Volume
5
fYear
2009
fDate
March 31 2009-April 2 2009
Firstpage
702
Lastpage
706
Abstract
Distributed M&S (modeling and simulation) plays an important role in simulation of engineering and manufacturing process in the past few years. HLA (High level architecture) and Web service make distributed M&S available in a network centric environment, integrating heterogeneous simulations and legacy models. But physical communication and interoperation enabled by HLA need to be enhanced in semantic level. Ontology has natural advantage in building shared knowledge and domain model. It is used to realize semantic interoperability and enable reusability of legacy models. In this paper, collaborative simulation ontology, and a multi-layers ontology structure are introduced. Then we propose ontology based collaborative M&S framework using HLA and web service in complex product design to meet the requirement of modern distributed M&S.
Keywords
Web services; digital simulation; ontologies (artificial intelligence); open systems; product design; software architecture; software maintenance; HLA; Web services; collaborative simulation ontology; complex product design; distributed modeling; distributed simulation; heterogeneous simulations; high level architecture; legacy model reusability; multilayers ontology structure; network centric environment; ontology-based collaborative simulation; physical communication; semantic interoperability; shared knowledge; Buildings; Collaboration; Collaborative work; Computational modeling; Computer simulation; Manufacturing processes; Ontologies; Product design; Standards development; Web services; HLA; Ontology; Web Services; interoperability;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Information Engineering, 2009 WRI World Congress on
Conference_Location
Los Angeles, CA
Print_ISBN
978-0-7695-3507-4
Type
conf
DOI
10.1109/CSIE.2009.547
Filename
5170624
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