Semantic Web services selection based on context information

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
database
Information application
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
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Modified LSP Method

• 2) Static global aggregation structure

9
Worked Example
The r 3
SService20
SService30
SService40.493
SService10.333
Service 4, Service 1
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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