The development of knowledge-based systems requires the availability of domain and problem-solving knowledge. This knowledge must be acquired from domain experts. For this purpose the paper proposes to adopt the concept of scenarios known from requirements engineering and object oriented modelling to enrich the set of acquisition techniques. In RE and OO scenarios are used to define a vision of...

Knowledge acquisition plays a critical role in constructing a knowledge-based system (KBS). It is the most time-consuming phase and has been recognized as the bottleneck of KBS development. This paper presents a matrix representation and mapping (MRM) approach to facilitate the effectiveness of knowledge acquisition in building a KBS. The proposed MRM approach, which is based on matrix represen...

This paper contains description of such knowledge representation model as Object-Oriented Dynamic Network (OODN), which gives us an opportunity to represent knowledge, which can be modified in time, to build new relations between objects and classes of objects and to represent results of their modifications. The model is based on representation of objects via their properties and methods. It gi...

In this paper we present a framework of retrospective reasoning to deal with the belief revision problem in knowledge systems. First, a rst-order knowledge base is represented by a set of formulas in a rst order epistemic belief language that contains objective formulas as well as belief formulas. Secondly, we deene the revision operation by applying a form of prioritized circumscription to thi...

During the past decade a number of modelling frameworks for knowledge based systems have been developed. In this paper an approach to the comparison of modelling frameworks is proposed, based on the aims and purposes behind the frameworks. A purpose oriented comparison of the frameworks DESIRE, CommonKADS, PROTÉGÉ-II, MIKE, VITAL and KARL provides insight in their differences and similarities.

Recognising faces is now an attractive computer vision task. Methods used for machine parts; recognizing straight lines or circular arcs, and the use of detailed geometric models, are not directly relevant, yet with many human faces to recognize, it is worthwhile building a system solely for this task. The system described here uses a blackboard architecture and aims to obtain a set of measurem...

There are two main objectives of this project. First, is to outline a multi-ontology framework for a Foods-for-Health knowledge system. This knowledge system begins as a framework for linking multiple ontologies on the Agriculture—Food—Diet—Health knowledge spectrum. A brief overview of the necessary knowledge domains and their respective information sources is presented. Second, is to outline ...

This paper presents SHORT a knowledge-based system for fault diagnosis in power transmission networks. Differently from previous approaches to this very complex diagnostic problem, SHORT includes a knowledge representation formalism, named plot, capable of taking into account temporal aspects of component behavior, and solves the diagnostic problem as an instance of a more general class of temp...

In the domain of manual mechanical assembly, expert knowledge is an important means of supporting assembly planning that leads to fewer issues during actual assembly. Knowledge based systems can be used to provide assembly planners with expert knowledge as advice. However, acquisition of knowledge remains a difficult task to automate, while manual acquisition is tedious, time-consuming, and req...

In this paper, we propose a platform dedicated to the knowledge extraction and management for image processing applications. The aim of this platform is a knowledge-based system that generates automatically applications from problem formulations given by inexperienced users. We also present a new model for the formulation of such applications and show its contribution to the platform performance.