Principles for generalised testing of knowledge bases
Principles for generalised testing of knowledge bases
Helping researchers to construct scientific models
Helping researchers to construct scientific models
Revising Qualitative Models of Gene Regulation
DS '02 Proceedings of the 5th International Conference on Discovery Science
An interactive environment for scientific model construction
Proceedings of the 2nd international conference on Knowledge capture
An interactive environment for the modeling and discovery of scientific knowledge
International Journal of Human-Computer Studies
Extracting constraints for process modeling
Proceedings of the 4th international conference on Knowledge capture
Constructing explanatory process models from biological data and knowledge
Artificial Intelligence in Medicine
| Hi-index | 0.00 |
It is very difficult, if not impossible, for researchers to manually evaluate and revise their scientific models using a vast amount of relevant information now available to them. The paper describes a new framework, called JustAid, that successfully integrates techniques from Knowledge Acquisition and Machine Learning in a way that complements their strengths to overcome their weaknesses, and provides an interactive environment to help researchers in a process of scientific discovery. JustAid can use information stored in medical databases and assist experimental scientists in forming, testing and revising scientific models, without a need of a knowledge engineer. In this paper, JustAid has been applied to a real world problem in the area of neuroendocrinology, a branch of physiology.