A semantic representation of the knowledge management enablers domain: The aKMEOnt ontology

Sabri, Mohammad; Odeh, Mohammed; Saad, Mohammed

Abstract

Knowledge management is a significant driver for any enterprise development and evolution as it is engaged with planning, implementing, controlling, monitoring and improving enterprise’s processes and systems. However, organisations are still at a disadvantage when applying knowledge management in a real environment. A resourced-based view of knowledge management stimulates the consideration of knowledge management enablers (KMEs) as factors that should be employed during the development and implementation of knowledge management systems. Using organisations’ KMEs is critical for understanding how knowledge is created, shared, disseminated and upgraded in order to better respond to the dynamic environment. They are also essential to identify available assets and resources and clarify how an organisation’s capabilities are created and utilised. Sustaining these KMEs and applying them in systematic modes and business processes requires a generic overview of these KMEs and the relationship between them. The semantic representation of the KMEs domain can be an attractive approach to meet this demand. Using ontologies facilitates the semantic representation of the KMEs and provides a shared understanding of knowledge among individuals in the organisation. This paper proposes the employment of an abstract KMEs ontology (aKMEOnt) that formally defines an essential pillar of the knowledge management domain. Organisation structure, culture, information technology, leadership, knowledge context and business repository have been selected as representatives to define the KMEs domain. Each of the selected KMEs has a set of concepts that characterises its domain. The whole concept map of these KMEs has been developed to depict the concepts and their relationships in the KMEs domain. Based on the concept map of the KMEs, the aKMEOnt, including its classes and properties is implemented using the Protégé tool and Ontology Web Language-Description Logic (OWL-DL).The aKMEOnt is important to explicitly manage and control the flow of knowledge in the organisation, and, in addition, it can be integrated with potential semantic representation of other related disciplines.

Citation

Sabri, M., Odeh, M., & Saad, M. (2017). A semantic representation of the knowledge management enablers domain: The aKMEOnt ontology. In F. Marimon, M. Mas-Machuca, J. Berbegal-Mirabent, & R. Bastida (Eds.), Proceedings of the 18th European Conference on Knowledge Management ECKM 2017

• Conference Name: 18th European Conference on Knowledge Management
• Conference Location: Barcelona, Spain
• Start Date: Sep 7, 2017
• End Date: Sep 8, 2017
• Acceptance Date: Jun 14, 2017
• Publication Date: Aug 25, 2017
• Deposit Date: Aug 27, 2017
• Publicly Available Date: Sep 25, 2017
• Peer Reviewed: Peer Reviewed
• Book Title: Proceedings of the 18th European Conference on Knowledge Management ECKM 2017
• ISBN: 9781911218487
• Keywords: semantic representation, knowledge management enablers domain, aKMEOnt, ontology
• Public URL: https://uwe-repository.worktribe.com/output/882774
• Additional Information: Title of Conference or Conference Proceedings : 18 th European Conference on Knowledge Management