A Framework for Knowledge Discovery in Enterprise Architecture

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Mohamed El Kourdi, Hanifa Shah, Anthony Atkins


The aim of research is to develop an information agent framework for knowledge discovery in enterprise architecture (EA). This framework is based on specific purpose ontology and knowledge discovery techniques. Such a framework would facilitate strategic decision making for EA stakeholders by enabling them to analyze and monitor the portfolio of processes, data, applications, and organizational units in term of their correlation and impact in the overall organization. This framework is very useful for affording key stakeholders with the appropriate view that is reliant on an accurate and concise picture of systems, applications, technologies and other infrastructure elements in the business and how these integrate to serve the enterprise. The article discusses the concepts and components of this framework. Potential benefits of this framework over existing approaches are also described.

Journal of Enterprise Architecture

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