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

Omar Shehab and Ali Hussein Saleh Zolait
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Omar Shehab: Staffordshire University, Malaysia
Ali Hussein Saleh Zolait: University of Bahrain, Bahrain

International Journal of Technology Diffusion (IJTD), 2011, vol. 2, issue 3, 47-71

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.

Date: 2011
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