Conceptual Information Systems unfold the conceptual structure of data stored in relational databases. In the design phase of the system, conceptual hierarchies have to be created which describe diier-ent aspects of the data. In this paper, we describe two principal ways of designing such conceptual hierarchies, data driven design and theory driven design, and discuss advantages and drawbacks. ...

Management research has often overlooked the role of knowledge and knowledge management (KM) in the analysis of organizations and their performance. Also, the literature on KM is short of empirical evidence on the likely interrelatedness of the KM processes. This investigation adopted a research model and used data from 38 Egyptian software firms to examine: (1) the relationship of the KM proce...

knowledge management is a process that has been recently generated as an activity which is very important in the dynamic environment, and in the competitive scene. we believe that km is a process which its organizational knowledge is created from the individual knowledge of the members of the organization. the relevant studies have indicated that organizing based on work teams could be consider...

OBJECTIVE To analyze the effect of expert knowledge on the inductive learning process in creating classifiers for medical text reports. DESIGN The authors converted medical text reports to a structured form through natural language processing. They then inductively created classifiers for medical text reports using varying degrees and types of expert knowledge and different inductive learning...

In this paper a new method for knowledge extraction was presented. First, the relational knowledge representation with all crucial definitions was introduced. Second, problem statement for knowledge acquisition using relational knowledge representation was formulated. Then the modified coverage strategy was proposed. At the end a benchmark problem was considered and results were presented.

The fields of knowledge acquisition and machine learning share a major common goal, namely the creation and refinement of knowledge-based expert systems. Yet substantial barriers exist to substantial cross-fertilization between these two active research subfields. The major purpose of this paper is the presentation of a framework to allow large-scale interaction and cooperation between knowledg...