An Experiment in Direct Knowledge Acquisition

LQMS is a knowledge-based system that identifies and explains anomalies in data acquired from multiple sensors. The knowledge base was built by a sequence of domain experts. Its prototype performed with a high level of accuracy and that performance has been incrementally and significantly improved during development and field testing. Several points are developed in this paper. This enticed them to become more directly involved, and, resulted in a better system.