A Generic Framework for the Semantic Derivation of Enterprise Information Architecture from Business Process Architecture

Enterprise Information Architecture (EIA) is one of the constituent architectures of a modern enterprise and is also a crucial success factor for the success of an enterprise that perceives its information resources as an asset.

The EIA design is vital for Chief Information Officers (CIO's) to deal with all issues of information management including information quality, information security, and information governance. The strategic management of today's information-based enterprises is, however, only beginning to understand the value of a responsive and supportive EIA, and hence consequent promising returns on investment (ROI) by investing into the EIA design, combined with enhanced information and customer management capabilities.

Therefore, the Enterprise Information Architecture must support the business strategy and be aware of Business Architecture at its upper level within the enterprise. Recent research in information integration lacks the knowledge of business process architecture and its vitality for the design of Enterprise Information Architecture.

The BPAOntoEIA research project aims to develop a framework for a semantic based derivation of Enterprise Information Architecture from a semantically enriched Business Process Architecture of the enterprise by making use of the state-of-the-art knowledge representation (KR) mechanisms of artificial intelligence using Description Logics represented as OWL-DL ontologies.

The newly designed EIA is being tested with two major validated case studies:

  • Jordan's Cancer Care and Registration
  • UK Higher Education Institutions.

Thus, the BPAOntoEIA framework, based on the ontologised Riva BPA method is anticipated to lay a strong foundation for bridging the gap between business process architecture and information systems.

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