Derivation of a Semantic Cancer Care Information Architecture from Riva-based Business Process Architecture using the BPAOntoEIA Framework

Contemporary Enterprise Information Architecture (EIA) design methods lack the knowledge of business process in an enterprise. The object-based business process architecture (BPA) design methods generate useful information of business entities and process that can assist in deriving a business process-aware EIA in a semi-automatic manner. This paper reports on the impact of applying the BPAOntoEIA framework to a Cancer Care & Registration actual case study in order to derive a semantic EIA from its associated Riva-based BPA semantic model. The benefit of this framework manifests itself in the knowledge of business processes, their orchestration and models of the cancer care organisation while inter-connecting the business processes with information categories, and thus enhancing the business-IT alignment of the given cancer care & Registration process architecture. An automation of 80% of the semantic EIA derivation is reported and EIA quality metrics were developed that have informed the evaluation of the automated derivation of a corresponding Cancer Care and Registration EIA.