KNOs: KNowledge acquisition, dissemination, and manipulation Objects
ACM Transactions on Information Systems (TOIS)
SACT: a tool for automating semi-structured organizational communication
COCS '90 Proceedings of the ACM SIGOIS and IEEE CS TC-OA conference on Office information systems
Supporting distributed office problem solving in organizations
ACM Transactions on Information Systems (TOIS) - Special issue: selected papers from the conference on office information systems
ACM Transactions on Information Systems (TOIS) - Special issue: selected papers from the conference on office information systems
The Hearsay-II Speech-Understanding System: Integrating Knowledge to Resolve Uncertainty
ACM Computing Surveys (CSUR)
An object-oriented model for supporting office work
An object-oriented model for supporting office work
OASIS: a programming environment for implementing distributed organizational support systems
COCS '91 Proceedings of the conference on Organizational computing systems
ADOME: An Advanced Object Modeling Environment
IEEE Transactions on Knowledge and Data Engineering
CoScripter: automating & sharing how-to knowledge in the enterprise
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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One of an organization's assets is the knowledge it has for carrying out its activities in an acceptable way. However, due to the constantly changing environment in which it operates, its knowledge must evolve in order for it to survive and to stay competitive. For this reason, it is inappropriate to hard-code organizational knowledge into a computer-based organizational support system. Supporting the evolution of organizational knowledge, in general, is a very difficult problem because the domain knowledge needed to support it is open-ended. However, certain forms of organizational knowledge evolution, where the knowledge needed for the evolution already exists in some form in the organization, can be supported. We call this type of knowledge evolution knowledge migration. To evolve, in this case, is to recognize the need for change, and to rearrange or acquire the knowledge (possibly located in several different locations). In this paper, we discuss an approach for supporting this type of knowledge evolution.