Deriving object-based business process architecture using knowledge management enablers

Sabri, M.; Odeh, M.; Saad, M.

Abstract

This paper discusses a semantic-driven approach to deriving an object-based Business Process Architecture (BPA) using Knowledge Management Enablers (KMEs). The semantic enriched Riva BPA (srBPA) ontology has been selected as an object and ontology based BPA to be derived by the abstract knowledge management enablers’ ontology (aKMEOnt). The aKMEOnt includes six KMEs: information technology, leadership, organisation structure, culture, business repository and knowledge context. The aKMEOnt has been utilised in order to generate the Essential Business Entities (EBEs) of the srBPA ontology. A link between these two artefacts, i.e., the srBPA ontology and aKMEOnt, is demonstrated using a typical example of the deposits department in banking. In conclusion, this new ontology-based approach between KMEs and BPA has informed the effectiveness of using semantic KMEs and Semantic Web Rule Language (SWRL) rules in the semi-automatic identification of representative EBEs. These EBEs characterise the business of deposits in banking and constitute the first essential building block of the Riva BPA method which drives the development of Units of Work and the subsequent 1st and 2nd cut Riva process architectures.

• Journal Article Type: Article
• Acceptance Date: Jan 22, 2019
• Publication Date: Jan 31, 2019
• Deposit Date: Jun 25, 2019
• Journal: The International Arab Journal of Information Technology
• Peer Reviewed: Peer Reviewed
• Volume: 16
• Issue: 3A
• Pages: 577-586
• Keywords: business process architecture, knowledge management enablers, srBPA, riva method
• Public URL: https://uwe-repository.worktribe.com/output/1493898
• Publisher URL: https://iajit.org/index.php?option=com_content&task=view&id=1773&Itemid=478
• Contract Date: Jun 25, 2019