In recent years the term knowledge management has been used to describe the efforts of organisations to capture, store, and deploy knowledge. Most current knowledge management activities rely on database and web technology; currently, few organisations have a systematic process for capturing knowledge, as distinct from data. The paper presents a case study in which knowledge engineering practic...

Machine learning and knowledge acquisition from experts have distinct and apparently complementary knowledge acquisition capabilities. This study demonstrates that the integration of these approaches can both improve the accuracy of the knowledge base that is developed and reduce the time taken to develop it. The system studied, called The Knowledge Factory is distinguished by the manner in whi...

We develop a new methodology and tool for knowledge acquisition under uncertainty. A new knowledge representation called Bayesian Knowledge Bases provides a powerful key to our approach and is well-grounded in probability theory. In this paper, we demonstrate the ease and flexibility with which knowledge acquisition can be accomplished while ensuring the consistency of the knowledge base as dat...

Abstract—Healthcare safety has been perceived important. It is essential to prevent troubles in healthcare processes for healthcare safety. Trouble prevention is based on trouble prediction using accumulated knowledge on processes, troubles, and countermeasures. However, information on troubles has not been accumulated in hospitals in the appropriate structure, and it has not been utilized effe...

Our goal is to build knowledge acquisition tools that support users in modifying knowledge-based systems. These modiications may require several individual changes to various components of the knowledge base, which need to be carefully coordinated to prevent users from leaving the knowledge-based system in an unusable state. This paper describes an approach to building knowledge acquisition too...

Knowledge management facilitates the capture, storage, and dissemination of knowledge using information technology. Methods for managing knowledge have become an important issue in the past few decades, and the KM community has developed a wide range of technologies and applications for both academic research and practical applications. In this paper, we propose a knowledge engineering approach...

This paper describes the results ofthe use of a Group Support System (GSS) and two “hindcasting” scenario exercises. The GSS is used to implement the hindcasting, knowledge mapping, and knowledge representation techniques as disaster planning tools. This work improves our understanding of the knowledge engineering process in the areas of knowledge acquisition, validation, and representation whe...