Process-centered knowledge model and enterprise ontology for the development of knowledge management system

  • Authors:

  • Kwan Hee Han;Jun Woo Park

  • Affiliations:

  • Department of Industrial and Systems Engineering, Engineering Research Institute, Gyeongsang National University, 900 Gazwa-Dong, Jinju, Gyeongnam 600-701, Republic of Korea;Department of Industrial and Systems Engineering, Engineering Research Institute, Gyeongsang National University, 900 Gazwa-Dong, Jinju, Gyeongnam 600-701, Republic of Korea

  • Venue:
  • Expert Systems with Applications: An International Journal
  • Year:
  • 2009

Quantified Score

Hi-index 12.06

Visualization

Abstract

Among many enterprise assets, knowledge is treated as a critical driving force for attaining enterprise performance goals. This is because knowledge facilitates the better business decision makings in a timely fashion. However, since knowledge is created and utilized during the execution of business processes, if knowledge is separated from the business process context, it does not lead to the ability to take the right action for target performance. This paper proposes the framework for process-centered knowledge model and enterprise ontology for the context-rich and networked knowledge storage and retrieval required during task execution. The enterprise knowledge object for a process-centered knowledge model is classified into two types: process knowledge and task support knowledge. In the proposed enterprise ontology, which represents major enterprise concepts, and the relationships between them, all domain concepts are related to the ''process'' concept, both directly and indirectly. As a result, networked and sophisticated knowledge, rather than single-level knowledge, is provided to the participant of unit activity. In order to show the applicability of the proposed framework, a process-centered KMS (knowledge management system) was also developed, which is classified into 3 parts: (1) project management sub-system based on process knowledge. (2) Knowledge management sub-system for maintaining task support knowledge. (3) Infrastructure sub-system which supports the above two sub-systems.