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Applying systems analysis techniques to knowledge engineering
Author(s) -
Swaffield Gail,
Knight Brian
Publication year - 1990
Publication title -
expert systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.365
H-Index - 38
eISSN - 1468-0394
pISSN - 0266-4720
DOI - 10.1111/j.1468-0394.1990.tb00170.x
Subject(s) - computer science , knowledge base , task (project management) , process (computing) , identification (biology) , expert elicitation , data science , expert system , knowledge representation and reasoning , representation (politics) , knowledge management , data mining , software engineering , artificial intelligence , systems engineering , statistics , botany , mathematics , politics , law , political science , engineering , biology , operating system
This paper deals with the issue of knowledge elicitation for expert systems. Specifically, it looks at the requirements of the knowledge elicitation process and the suitability of structured methods from systems analysis to carry out part of the elicitation task. The techniques of data flow analysis, entity‐relationship analysis and entity‐life cycle analysis are used to structure the data associated with the expert task. The methods proposed lay emphasis on the definition of limited data sets at the boundary of the explicit knowledge base and the identification of status attributes to model the control of activation of ‘processes’ within the knowledge base. Attention is also paid to the relationship between the resulting logical model, and two popular methods of knowledge representation, namely, Production Systems and Frames.