Multi-tenant database framework validation and implementation into an expert system

Olumuyiwa Oluwafunto Matthew, Kevan Buckley, Mary Garvey, Robert Moreton

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Abstract

Expert Systems (ES) is a branch of Artificial Intelligence (AI) that makes extensive use of specialized knowledge to solve problems at the level of a human expert. It uses a computer program that represents and reasons with knowledge of some specialist subject with a view to solving problems or giving advice. These systems represent a programming methodology by which a computer can be instructed to perform tasks that were previously considered to require the intelligence of a human expert. The development of the Multi-Tenant Database (MTD) adoption framework involved the accumulation of extensive specialised knowledge of experts, hence there is a need for this to be implemented in an ES. This paper presents a forward chaining method used in the implementing of the MTD framework into an expert system. A free web-based expert system shell called ES-BUILDER was adopted. The framework was validated via a survey and analysed with the aid of SPSS software. The findings obtained from the validation procedure indicate that the framework is valuable and suitable for use in practice since the research shows that the majority of respondents accepted the research findings and recommendations for success. Likewise, the ES was also validated using a survey with the majority of participants accepting it and embraces the high level of its usability.
Original languageEnglish
Pages (from-to)13-21
Number of pages9
JournalInternational Journal of Advanced Studies in Computer Science and Engineering (IJASCSE)
Volume5
Issue number8
Publication statusPublished - 31 Aug 2016

Keywords

  • expert system
  • artificial intelligence
  • multi-tenant database
  • forward chaining
  • validation

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