The research work presented in this paper is about the design of a knowledge system architecture applied to oncology and relying on the semantic Web principles. The core of this architecture is a working knowledge system, called KASIMIR, using an object-based representation formalism and classification-based reasoning. The ontology editor PROTÉGÉ is connected with the KASIMIR system, and is ada...

In this contribution we argue that the methods of formal knowledge representation, especially description logics, first, are valuable tools for analyzing existing configuration systems and open problems in configuration systems research, second, should be used by developers in order to make clear statements about the performance of their systems, and third, can even directly be used for buildin...

Knowledge Engineering is an important concept in recent years. Knowledge Engineering is the aspect of system engineering which addresses uncertain process requirements by emphasizing the acquisition of knowledge about a process and representing this knowledge in a Knowledge-based System. The purpose of this paper is to discuss how to use the basic principles of knowledge engineering to solve th...

An increasingly relevant theme for knowledge-based systems is how to model and use a large and complex knowledge domain. On the one hand, this involves developing new ideas on a modular construction of a knowledge base and, on the other hand, an appropriate architecture of a knowledge-based system that takes account of such a modular knowledge base. In the HYPERCON project we conceptualize a co...

The problem of comparing and matching different learners’ knowledge arises when assessment systems use a one-dimensional numerical value to represent “knowledge level”. Such assessment systems may measure inconsistently because they estimate this level differently and inadequately. The multi-dimensional competency model called COMpetence-Based learner knowledge for personalized Assessment (COMB...

A definitional approach to the construction of knowledge-based systems is presented. The notions of a knowledge base and the logical interface of a knowledge base are discussed.

This article presents methods for modeling knowledge base and database for intelligent concurrent design, including mathematical formulation and system development. Four issues are addressed in this research: (1) modeling product life-cycle aspects using aspect primitives called features, (2) generating product life-cycle aspects using a knowledge-based system, (3) maintaining consistency of pr...

Our goal is to build knowledge acquisition tools that support users in modifying knowledge-based systems. These modi cations 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...

Evaluation of knowledge acquisition (KA) technology is difficult because of the costs of using human expertise in experimental studies. An analysis of the types of errors a human expert makes in building a knowledge-based system (KBS) has been developed which suggests that a simulation of the key factors in building a KBS is possible. A demonstration KA simulation has been implemented for one K...

Personalized knowledge-based systems have not yet become widespread, despite their potential for valuable assistance in many daily tasks. This is due, in part, to the high cost of developing and maintaining customized knowledge bases. The construction of personal assistants as learning apprentices -interactive assistants that learn continually from their users -is one approach which could drama...