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Semantic Web services selection based on context information

Semantic Web services selection based on context information. Hong Qing Yu Department of Computer Science 22th May 2007. Guideline. Semantic Web services Context model Motivating example A modified LSP method for services selection Worked example Conclusion. Semantic Web services. QoS.

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Semantic Web services selection based on context information

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  1. Semantic Web services selection based on context information Hong Qing Yu Department of Computer Science 22th May 2007

  2. Guideline • Semantic Web services • Context model • Motivating example • A modified LSP method for services selection • Worked example • Conclusion

  3. Semantic Web services QoS Semantics meta-model Policies WSDL interface Software/component Information application database

  4. Context Model [2]

  5. Example for dynamic service selection [2]

  6. LSP Method Logic scoring preference (LSP) method: is a quantitative method based on scoring techniques and a continuous preference logic [1]. [3]

  7. Modified LSP Method 1) The type-based LSP evaluation methods (4) Specific value (1) Exact match (2) Set overlap (3) Level match

  8. Modified LSP Method 2) Static global aggregation structure

  9. Worked Example The r = 3 SService2=0 SService3=0 SService4=0.493 SService1=0.333 {Service 4, Service 1}

  10. Conclusion • Semantic Web services • Context model • Motivating example • A modified LSP method for services selection • Worked example

  11. Future Work • Covering the definition of the meanings of weights used in this paper from the perspective of user preferences, context mining and reasoning techniques since their outcomes will be the inputs for web service evaluation and selection. • Refining the rules for invoking the evaluation methods • Context aggregation problems • Additionally, implementation issues of the modified LSP method, as well as related mechanisms will be addressed. Future work will

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