Title page for etd-0211109-233244


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URN etd-0211109-233244
Author Shih-hua Yan
Author's Email Address No Public.
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Department Information Management
Year 2008
Semester 1
Degree Master
Type of Document
Language zh-TW.Big5 Chinese
Title Selecting Web Services by Problem Similarity
Date of Defense 2009-01-16
Page Count 134
Keyword
  • Model Similarity
  • Conceptual Similarity
  • Structural Similarity
  • Analogical Reasoning
  • Web services
  • Semantic Web Service
  • Model Selection
  • Abstract The recent development of the service-oriented architecture (SOA) has provided an opportunity to apply this new technology to support model management. This is particularly critical when more and more decision models are delivered as web services. A web-services-based approach to model management is useful in providing effective decision support.
    When a decision model is implemented as a web service, it is called a model-based web service. In model management, selecting a proper model-based web service is an important issue. Most current research on selecting such web service relies on matching inputs and outputs of the model, which is oversimplified. The incorporation of more semantic knowledge may be necessary to make the selection of model-based web services more effective.
    In this research, we propose a new mechanism that represents the semantics associated with a problem and then use the similarity of semantic information between a new problem description and existing web services to find the most suitable web services for solving the new problem. The paper defines the concept of entity similarity, attribute similarity, and functional similarity for problem matching. The web service that has the highest similarity is chosen as a base for constructing the new web services. The identified mapping is converted into BPEL4WS codes for utilizing the web services. To verify the feasibility of the proposed method, a prototype system has been implemented in JAVA.
    Advisory Committee
  • Bing-Chiang Jeng - chair
  • Deng-Neng Chen - co-chair
  • Ting-Peng Liang - advisor
  • Files
  • etd-0211109-233244.pdf
  • indicate accessible in a year
    Date of Submission 2009-02-11

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