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A method of extracting ontology module using concept relations for sharing knowledge in mobile cloud computing

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Summary
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This study introduces an ontology module extraction method for mobile cloud computing. It reduces complexity and computing load by creating smaller, semantically self-contained knowledge bases for improved cooperation.

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Area of Science:

  • Computer Science
  • Artificial Intelligence

Background:

  • Mobile cloud computing relies on cooperation between distributed objects.
  • Shared knowledge via ontologies is crucial for this cooperation.
  • Large ontologies increase management costs and complexity.

Purpose of the Study:

  • To propose a method for extracting smaller, efficient ontology modules.
  • To enhance the utility of knowledge in mobile cloud environments.
  • To reduce the computational load and complexity of object cooperation.

Main Methods:

  • Extracting ontology modules based on a given signature.
  • Considering syntactic structure and semantic relations of concepts.
  • Creating semantically self-contained modules for specific service needs.

Main Results:

  • Reduced ontology size leads to less computing load and complexity.
  • Facilitates cooperation among distributed computing objects.
  • Optimizes shared knowledge when combining multiple external ontologies.

Conclusions:

  • The proposed method effectively extracts ontology modules for mobile cloud computing.
  • This approach improves the efficiency and scalability of knowledge sharing.
  • It is particularly beneficial for complex services requiring integrated ontologies.