A review of knowledge acquisition for knowledge-based system applications.
Written in 2002; 8,801 words; 40 sources; MLA; $ 184.95
Paper Summary:
In this paper, an overview is provided of knowledge acquisition as it relates to expert systems. After this, specific knowledge acquisition methodologies and techniques are reviewed that have been used in the development of knowledge-based systems. Subsequently, information is provided on recent advances in knowledge acquisition. Finally, future trends based on recent developments are discussed.
Overview of Knowledge Acquisition
First Generation Knowledge Acquisition Methodological Approaches
Second Generation Knowledge Acquisition Methodological Approaches
Knowledge Acquisition Techniques by Interaction with the Expert
Interviewing
Case Study
Protocol Analysis
Critiquing
Role Playing
Simulation
Prototyping
Rapid Application Development and Joint Application Development
Teachback
Observation
Goal Related
List Related
Construct Elicitation
Sorting
Laddering
20 Questions
Document Analysis
Recent Developments in Knowledge Acquisition
Future Directions
References
From the Paper:
"Knowledge acquisition represents a field of artificial intelligence focused on the development of methods, techniques and tools for building expert system knowledge bases. During the 1970s and 1980s, most researchers and practitioners believed that knowledge should be acquired via a process involving a knowledge engineer, who interviews a domain expert regarding the knowledge domain of interest. The knowledge engineer was then responsible for organizing and formalizing the extracted knowledge to the point that it was appropriate for processing by a knowledge-based system. After processing was completed, the extracted knowledge could then be tested by presenting example problems to the knowledge-based system."
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