Knowledge Acquisition (KA) Scripts capture typical modification sequences that users follow when they modify knowledge bases. KA tools can use these Scripts to guide users in making these modifications, ensuring that they follow all the ramifications of the change until it is completed. This paper describes our approach to design, develop, and organize a library of KA Scripts. We report the res...

Knowledge Management is a field of increasing popularity, within both the academic arena and the business community. However, although there is an abundance of advice on how to develop and manipulate knowledge-based systems (particularly through the medium of web sites), there is still confusion within the Knowledge Management community of what actually constitutes knowledge (this often manifes...

Domain-oriented knowledge-acquisition tools provide e cient support for the design of knowledge-based systems. However, the cost of developing such tools is high, especially when their restricted scope is taken into account. Developers can use metalevel tools to generate domain-oriented knowledge-acquisition tools that are custom tailored for a small group of experts, with considerably less eff...

This paper examines experience and knowledge, experience management and knowledge management, and their interrelationships. It also proposes process perspectives for both experience management and knowledge management, which integrate experience processing and corresponding management, knowledge processing and corresponding management respectively. The proposed approach will facilitate research...

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Real-world applications often require the joint use of datadriven and knowledge-based models. While data-driven models are learned from available process data, knowledge-based models are able to provide additional information not contained in the data. In this contribution, we propose a method to divide the input space on the basis of the validity ranges of the knowledge-based models. By doing ...

We will neglect so called quasi-problems of knowledge management, such as: group knowledge, organizational memory or organizational learning. The thing that is not a quasi-problem, but is not considered at all is the question: How much influence does the group/organization have on expert/decision makers learning? This question could be also examined using knowledge-based system, similarly as Ko...

AIMS is a knowledge-based system for learning and teaching support within the context of distance education. It is aimed not only at enhancing learner's conceptual knowledge in a specific subject area but also at providing knowledge verification tools for the teacher. The system can be used to aid learning and teaching in different subject areas and to provide user-oriented support in searching...