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A case-based reasoning approach to support web service composition

  • School of Computer Science and Technology, Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

With the Internet development, lots of web services have been exposed increasingly on the Internet. These web servicesalways are owned by different companies and organizations, and are geographically distributed. How to compose these web services together to fulfill a business process is usually a challenge issue. Case-Based Reasoning (CBR) is a problem solving paradigm. It uses successful experiences in past to solve similar problems at present or/and in the future. In this paper, a set of approaches to support web service composition based on CBR is presented for case retrieval. The method of semantic-driven similarity assessment for web services is also described. The indexing technology is adopted to organize the case base to improve the retrieval efficiency. In addition, case adaptation strategy for web services is employed to make a CBR system more robust than usual. At last, the experiments and analysis processes are also addressed.

Original languageEnglish
Title of host publicationProceedings of the 2009 International Conference on Machine Learning and Cybernetics
PublisherIEEE Computer Society
Pages1471-1476
Number of pages6
ISBN (Print)9781424437030
DOIs
StatePublished - 2009
Externally publishedYes
Event8th International Conference on Machine Learning and Cybernetics, ICMLC 2009 - Baoding, China
Duration: 12 Jul 200915 Jul 2009

Publication series

NameProceedings of the 2009 International Conference on Machine Learning and Cybernetics
Volume3

Conference

Conference8th International Conference on Machine Learning and Cybernetics, ICMLC 2009
Country/TerritoryChina
CityBaoding
Period12/07/0915/07/09

Keywords

  • Case-based reasoning
  • Web services
  • Web services composition

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