Evaluation and exploitation of knowledge robustness in knowledge-based systems

TL;DR

This paper discusses a method for evaluating the robustness of industrial knowledge in knowledge-based systems, emphasizing the importance of continuous quality assessment using a computerized tool to ensure knowledge remains valid under changing conditions.

Contribution

It introduces a novel evaluation method for knowledge robustness in industrial systems, supported by a dedicated computerized tool, addressing the challenge of knowledge validity over time.

Findings

Robustness evaluation improves knowledge reliability.

The computerized tool facilitates continuous knowledge assessment.

Knowledge formalized by conceptual graphs can be effectively evaluated.

Abstract

Industrial knowledge is complex, difficult to formalize and very dynamic in reason of the continuous development of techniques and technologies. The verification of the validity of the knowledge base at the time of its elaboration is not sufficient. To be exploitable, this knowledge must then be able to be used under conditions (slightly) different from the conditions in which it was formalized. So, it becomes vital for the company to permanently evaluate the quality of the industrial knowledge implemented in the system. This evaluation is founded on the concept of robustness of the knowledge formalized by conceptual graphs. The evaluation method is supported by a computerized tool.