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Semantic Search Engine and Object Database Guidelines for Service Oriented Architecture Models

Author

Listed:
  • Omar Shehab

    (Staffordshire University, Malaysia)

  • Ali Hussein Saleh Zolait

    (University of Bahrain, Bahrain)

Abstract

In this paper, the authors propose a Semantic Search Engine, which retrieves software components precisely and uses techniques to store these components in a database, such as ontology technology. The engine uses semantic query language to retrieve these components semantically. The authors use an exploratory study where the proposed method is mapped between object-oriented concepts and web ontology language. A qualitative survey and interview techniques were used to collect data. The findings after implementing this research are a set of guidelines, a model, and a prototype to describe the semantic search engine system. The guidelines provided help software developers and companies reduce the cost, time, and risks of software development.

Suggested Citation

  • Omar Shehab & Ali Hussein Saleh Zolait, 2011. "Semantic Search Engine and Object Database Guidelines for Service Oriented Architecture Models," International Journal of Technology Diffusion (IJTD), IGI Global, vol. 2(3), pages 47-71, July.
    • Handle: RePEc:igg:jtd000:v:2:y:2011:i:3:p:47-71
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