Data, knowledge and experience in multiuser information systems

Abstract

The paper presents a classification of multiuser information systems based upon levels in which information is shared in team collaboration. In this classification, data, knowledge and experience are suggested as information level categories. The concepts underlying the classification are presented through a review of current approaches to information sharing. Work on the ICON system is discussed as an on-going research and development project which implements data sharing in an integrated information system. Advances in computer-supported collaborative information environments through AI methods are presented and reviewed as possibilities for the future development of knowledge sharing and experience sharing in information systems. Case-based reasoning, a subfield in AI emphasizing experiential knowledge, is introduced as a promising approach to computer-supported collaboration in information systems based on experience sharing. A research project in this field is presented as a case study.

Keywords:

• Information systems
• data sharing
• knowledge sharing
• artificial intelligence
• case-based reasoning