- Author:
- Anna Hart
No abstract available.
Cited By
- Tan F and Hunter M (2018). The repertory grid technique, MIS Quarterly, 26:1, (39-57), Online publication date: 1-Mar-2002.
- Mookerjee V (2001). Debiasing Training Data for Inductive Expert System Construction, IEEE Transactions on Knowledge and Data Engineering, 13:3, (497-512), Online publication date: 1-May-2001.
- Bharadwaj A, Karan V, Mahapatra R, Murthy U and Vinze A (2018). APX, International Journal of Intelligent Systems in Accounting and Finance Management, 3:3, (149-164), Online publication date: 1-Aug-1994.
- Bhatia S and Deogun J Cluster characterization in information retrieval Proceedings of the 1993 ACM/SIGAPP symposium on Applied computing: states of the art and practice, (721-728)
- Bhatia S and Yao Q A new approach to knowledge acquisition by repertory grids Proceedings of the second international conference on Information and knowledge management, (738-740)
- Liou Y (1992). Knowledge acquisition, ACM SIGMIS Database: the DATABASE for Advances in Information Systems, 23:1, (59-64), Online publication date: 1-Mar-1992.
- Bhatia S Selection of search terms based on user profile Proceedings of the 1992 ACM/SIGAPP Symposium on Applied computing: technological challenges of the 1990's, (224-233)
- Meyer M and Curley K (2018). An applied framework for classifying the complexity of knowledge-based systems, MIS Quarterly, 15:4, (455-472), Online publication date: 1-Dec-1991.
- Raghavan V, Gudivada V and Katiyar A Discovery of conceptual categories in an image database Intelligent Text and Image Handling - Volume 2, (902-915)
- Yue K (1990). Teaching a graduate expert systems course, ACM SIGCSE Bulletin, 22:4, (49-52), Online publication date: 1-Nov-1990.
- Micco M and Cumpston P (1990). A large project for demonstrating knowledge engineering techniques including applications of neural networks, ACM SIGCSE Bulletin, 22:1, (245-250), Online publication date: 1-Feb-1990.
- Micco M and Cumpston P A large project for demonstrating knowledge engineering techniques including applications of neural networks Proceedings of the twenty-first SIGCSE technical symposium on Computer science education, (245-250)
- Mamone S (1990). An expert system for UNIX problem resolution, ACM SIGART Bulletin, 1:2, (8-11), Online publication date: 1-Jun-1990.
- Payne S and Awad E The systems analyst as a knowledge engineer: can the transition be successfully made? Proceedings of the 1990 ACM SIGBDP conference on Trends and directions in expert systems, (155-169)
- Liou Y Knowledge acquisition: issues, techniques, and methodology Proceedings of the 1990 ACM SIGBDP conference on Trends and directions in expert systems, (212-236)
- Wagner W Issues in knowledge acquisition Proceedings of the 1990 ACM SIGBDP conference on Trends and directions in expert systems, (247-261)
- Wood W and Roth R A workshop approach to acquiring knowledge from single and multiple experts Proceedings of the 1990 ACM SIGBDP conference on Trends and directions in expert systems, (275-300)
- Roth R and Wood W A Delphi approach to acquiring knowledge from single and multiple experts Proceedings of the 1990 ACM SIGBDP conference on Trends and directions in expert systems, (301-324)
- Hardaway D and Willi R A review of barriers to expert system diffusion Proceedings of the 1990 ACM SIGBDP conference on Trends and directions in expert systems, (619-639)
- Lovegrove G, Curtis G and Farrar R A PC-based expert system in engineering Proceedings of the 3rd international conference on Industrial and engineering applications of artificial intelligence and expert systems - Volume 2, (653-659)
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- Lavrac N and Mozetic I (1989). Methods for knowledge acquisition and refinement in second generation expert systems, ACM SIGART Bulletin:108, (63-69), Online publication date: 1-Apr-1989.
- Lovegrove G, Curtis G and Farrar R Welding advisory system for process selection “WASPS” Proceedings of the 2nd international conference on Industrial and engineering applications of artificial intelligence and expert systems - Volume 1, (422-427)
- Frakes W and Gandel P Representation methods for software reuse Proceedings of the conference on Tri-Ada '89: Ada technology in context: application, development, and deployment, (302-314)
Index Terms
- Knowledge acquisition for expert systems
Reviews
James Clinton Spohrer
Knowledge is one of the most valuable commodities of our time. In this book, the problem of eliciting knowledge from experts for the purpose of building expert systems is addressed. The book can be divided into four main parts, each addressing a different question: (1)What is an expert system__ __ (2)What is the role of a knowledge engineer in eliciting and organizing knowledge from an expert__ __ (3)What knowledge acquisition techniques are available__ __ (4)What plausible scenarios might a neophyte knowledge engineer encounter__ __ The answers to all but the third question are easily accessible to both the layperson and computer professional alike. Answering the third question requires the most technically detailed discussion in the book, dealing with: methods for transcript analysis, modeling probabilistic and fuzzy reasoning, inducing rules and decision trees from data, and using the grid techniques for identifying useful dimensions for categorizing cases. Many practical ideas for the would-be knowledge engineer are presented. However, the book is careful not to paint an overly simplistic picture of the knowledge acquisition process. Knowledge is far more than facts and rules, and the author wisely warns the reader not to adopt this naive view of expertise. The main weakness of the book is that the distinction between knowledge acquisition methods (e.g., the grid technique) and alternative models of expert cognition (e.g., rule-based reasoning versus case-based reasoning) is never clearly drawn out and explained. Otherwise, the author achieves her overall goal of bringing together a collection of practical ideas and suggestions that address the far-from-solved problem of knowledge acquisition.
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