论文信息 - Interactive Knowledge Based Construction and Maintenance

Interactive Knowledge Based Construction and Maintenance

This article presents a framework and case study of knowledge revision and maintenance. Doing so it relies on a real-world application of medical decision making, namely, acute abdominal pain in children (AAPC), and makes use of an integrated learning and knowledge revision system called MOBAL. The presented framework integrates expert knowledge with empirical knowledge. MOBAL serves as a vehicle of interaction between the expert user and the medical records, which brings empirical knowledge into the process. An iterative-cyclic framework is used to formalize knowledge revision and maintenance. Results are demonstrated using AAPC. The article focuses on expert user-revision system interaction while it offers a complete case study account of using MOBAL in a real-world setting.

[1] Barry G. Silverman. Critiquing Human Error: A Knowledge Based Human-Computer Collaboration Approach , 1997 .

[2] Douglas B. Lenat,et al. On the thresholds of knowledge , 1987, Proceedings of the International Workshop on Artificial Intelligence for Industrial Applications.

[3] H. Hartl,et al. Das akute Abdomen im Kindesalter , 1981 .

[4] Raymond J. Mooney,et al. Theory Refinement Combining Analytical and Empirical Methods , 1994, Artif. Intell..

[5] Katharina Morik,et al. Knowledge Acquisition and Machine Learning: Theory, Methods, and Applications , 1993 .

[6] Frederick Hayes-Roth,et al. Building expert systems , 1983, Advanced book program.

[7] Gregory M. Provan,et al. Dynamic Network Construction and Updating Techniques for the Diagnosis of Acute Abdominal Pain , 1993, IEEE Trans. Pattern Anal. Mach. Intell..

[8] Katharina Morik. Balanced cooperative modeling , 2004, Machine Learning.

[9] Stefan Wrobel,et al. Concept Formation During Interactive Theory Revision , 1994, Machine Learning.