Learning Organization through the Integrated Use of Information Systems and Knowledge Engineering

This paper describes a software which is inspired by notions originating from the management context on learning organization and knowledge management and which is characterized for making integrated use of the information systems and knowledge engineering to support these notions. This software considers the individual as the source of the whole organization’s wealth. The basic premise is to set up conditions that favor the full development of all people directed to the full development of the organization. The software has a participative arena where people in the organization can express their abilities, intentions and opinions. It uses Artificial Intelligence techniques of knowledge acquisition and representation to allow efficient manipulation of the organizational memory created by people when they interact in the participative arena

A Knowledge Acquisition Tool for Multi-Perspective Concept Formation

Abstract. In this paper, we describe an architecture for helping in the construction of concept hierarchies. This architecture is based on machine learning and on cognitive psychology studies in concept formation. Our basic assumption is that concept formation should be considered as a goal-driven, context-dependent process and, therefore, that the hierarchical organization of concepts should be represented in different perspectives. The core of our architecture is a learning system that generates multi-perspective hierarchies. The evaluation of the architecture is realized from a perspective of both the comprehensibility and the prediction power of the generated knowledge.