Earticle

초록

영어

When Cloud Platform for Computer Aided Engineering Simulation (CPCAES) are developed to use Service-Oriented Architecture (SOA), on the one hand, it’s necessary to accurately express the service requirements of users, on the other hand it’s need to semantic of the existing services in the platform, and then to match the ontologies. The existing Ontology Web Language for Services / Universal Description Discovery and Integration (OWL-S / UDDI) algorithm has weak matching precision, and not meet the Computer Aided Engineering (CAE) simulation applications. The other semantic similarity algorithms also have weakness in judgment factor, or do not meet the requirements of CAE simulation applications for matching to service requirement ontology in cloud platform. Such that, the authors present a kind of ontology of service requirement for CAE simulation, model the content of the ontology, including resource requirements, computing requirements, computing job requirements, input, output, etc. The authors give the ontology mapping relationship between Ontology Web Language for Services (OWL-S) and the ontology, give the matching decision rules for the ontologies, propose a matching algorithm for matching the ontologies, and compare with the classic OWL-S / UDDI matching algorithm and a similarity matching algorithm proposed in other paper in the ability for measure the similarity quantity of services, the ability to suit the applications, as well as algorithms recall rate and precision rate. The results show the matching algorithm proposed in this paper is more suitable for service requirement ontology of CPCAES, can use the quantify value for the similarity analysis to the ontologies, and has higher precision rate and higher recall rate, which can reach about 90%. The research work in this paper is used in the second prototype of CPCAES, and the research team is developing the third prototype based on semantic Web Services and SOA framework.

목차

Abstract
 1. Introduction
 1. Related Research
 2. Ontology Modeling for Service Requirement
  2.1. Service Requirement Ontology
  2.2. Mapping Relationship Between Service Requirement Ontology and Existing OWL-S Service Ontology
  2.3. Matching Analysis for Service Requirements
 3. Service Matching Algorithm Based on Similarity
  3.1. Matching Decision Rules for Service Requirements
  3.2. Definition of Semantic Distance and Definition of Semantic Similarity
  3.3. Matching Degree between Service Requirement Ontology and Existing Service Ontology
  3.4. Matching Algorithm Between Service Requirement Ontology and Existing Service Ontology
  3.5. Matching Calculation Example
 4. Algorithm Evaluation
 5. Engineering Prototype
 6. Further Research
 7. Conclusion
 Acknowledgements
 References

키워드

저자

• Ziyun Deng [ Electrical and Information Engineering,Hunan University,Changsha,Hunan, 410082,China, National Supercomputing Centers in Changsha, Changsha,Hunan, 410082, China ]
• Jing Zhang [ Electrical and Information Engineering,Hunan University,Changsha,Hunan, 410082,China ] Corresponding author
• Lijun Cai [ National Supercomputing Centers in Changsha, Changsha,Hunan, 410082, China, Information Science and Engineering,Hunan University,Changsha,Hunan, 410082,China ]
• Lei Chen [ Electrical and Information Engineering,Hunan University,Changsha,Hunan, 410082,China, National Supercomputing Centers in Changsha, Changsha,Hunan, 410082, China ]
• Tingqin He [ National Supercomputing Centers in Changsha, Changsha,Hunan, 410082, China, Information Science and Engineering,Hunan University,Changsha,Hunan, 410082,China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of u- and e- Service, Science and Technology

• 간기

  격월간

• pISSN

  2005-4246

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605