Identifying the knowledge requirements of an expert system's natural language processing interface
Proceedings of the Second Conference of the British Computer Society, human computer interaction specialist group on People and computers: designing for usability
An overview of knowledge-acquisition and transfer
International Journal of Man-Machine Studies
Modern structured analysis
Knowledge acquisition
Knowledge elicitation techniques for knowledge-based systems
Knowledge elicitation: principle, techniques and applications
The use of grounded theory for conceptual analysis in knowledge elicitation
International Journal of Man-Machine Studies
Object-oriented analysis (2nd ed.)
Object-oriented analysis (2nd ed.)
PMI: knowledge elicitation and De Bono's thinking tools
EKAW'92 Proceedings of the 6th European knowledge acquisition workshop on Current developments in knowledge acquisition
Analysis for Knowledge-Based Systems: A Practical Guide to the KADS Methodology
Analysis for Knowledge-Based Systems: A Practical Guide to the KADS Methodology
Knowledge Acquisition for Expert Systems
ACAI '87 Advanced Topics in Artificial Intelligence, 2nd Advanced Course, ACAI '87, Oslo, Norway, July 28 - August 7, 1987
A comparative analysis of design principles for project-based IT courses
Proceedings of the 2nd Australasian conference on Computer science education
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Knowledge acquisition is that stage of knowledge-based systems development which is equivalent to the analysis and design phases of the conventional software life cycle. In this paper, an account is given of the experience gained when teaching a postgraduate course on this topic. One of the aims of the course, "Topics in Knowledge Acquisition", is to provide students with the opportunity to discover for themselves what this stage of the knowledge-based system development life cycle involves. Eliciting, analyzing and modeling domain knowledge, the main activities of the knowledge acquisition process, are fraught with problems. Each student is asked, therefore, to undertake the task of developing a small expert system in an appropriate domain. The emphasis in this project is not on the implementation but on the processes the students follow. Students are asked, therefore, to evaluate the elicitation, analysis and modeling techniques they use. This paper describes the information available to the students before they commence the project, gives an account of their experiences during the knowledge acquisition stage, discusses their findings and concludes with lessons learned for the future. Keywords: knowledge acquisition, knowledge-based systems