• Title of article

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

  • Author/Authors

    Han، نويسنده , , Kwan Hee and Park، نويسنده , , Jun Woo، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2009
  • Pages
    7
  • From page
    7441
  • To page
    7447
  • 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. aper 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. er 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.
  • Keywords
    Knowledge management system (KMS) , Enterprise ontology , Knowledge retrieval , business process , Business Performance
  • Journal title
    Expert Systems with Applications
  • Serial Year
    2009
  • Journal title
    Expert Systems with Applications
  • Record number

    2346449