Abstract: Personal construct psychology is a theory of individual and group psychological and social processes that takes a constructivist position in modeling human knowledge but bases this on a positivist scientific position that characterizes conceptual structures in axiomatic terms. It provides a fundamental framework for both theoretical and applied studies of knowledge acquisition and rep...

Adaptation is a well known concept in the field of e-learning and is increasingly applied in modern learning systems. In order to gain more flexibility and to enhance existing e-learning platforms, we have developed a generic solution approach which enables to add adaptation functionality to existing Web-based e-learning systems. In this paper we present a distributed architecture on the basis ...

While computer games have become more sophisticated, most computer characters follow a limited static script in their interaction with the user. We advocate a knowledge acquisition approach to building characters and use modelbased classification techniques as our learning mechanism. Model-based classifiers can be readily integrated with existing rule-based approaches for building computer char...

This paper describes an approach to model students' knowledge growth from novice to expert within the framework of a help system, ABSYNT, in the domain of functional programming. The help system has expert knowledge about a large solution space. This is necessary because especially novices often produce "unusual" solutions. On the other hand, it requires a model of the students' actual state of...

The competitiveness of small and medium enterprises depends on the quality of knowledge they apply to their business processes. Knowledge management processes are part of the organization business processes. These processes are essential or the precondition for effective knowledge management. Knowledge management processes comprised of knowledge acquisition, conversion, application, and protect...

This paper describes and evaluates machine learning techniques for knowledge-base refinement. These techniques are central to Einstein, a knowledge acquisition system that enables a human expert to collaborate with a machine learning system at all stages of the knowledge-acquisition cycle. Experimental evaluation demonstrates that the knowledge-base refinement techniques are able to significant...

What is Knowledge Management? The term Knowledge Management very often is inexplicitly used to describe a set o management practices aimed to improve the main KM process such as knowledge acquisition, creation, transfer, dissemination and use. In real business environments, the overall aim of a KM strategy is the business value creation. Many researchers disagree with the term «management» insi...

The development of conceptual knowledge systems speciically requests knowledge acquisition tools within the framework of formal concept analysis. In this paper, the existing tools are presented, and further developments are discussed.

We propose a new concept of knowledge management “Knowledge Liquidization and Crystallization”, and a system “Knowledge Nebula Crystallizer” to support the process. Though there are several theories about knowledge creation (Nonaka et al. 1995)(Fischer et al. 2001)(Shneiderman 1998) and a number of companies have realized their importance, most of them face to difficulty of applying them to the...

We present a new method for image taxonomy. Our formulation shows how the combination of automated metadata-based analysis and knowledge-acquisition tools can help build better image search applications. We build on top of existing metadata-based techniques to image taxonomy and combine them to human assistance, in order to guarantee some minimal level of semantic soundness. Knowledge from huma...