Abstract
Despite recent progress, knowledge acquisition remains a central problem for the development of intelligent systems. There are many people throughout the world doing studies in this area. However, very few automated techniques have made it to the market place. In this light, the idea of automating the knowledge acquisition process is very appealing and may lead to a break through. Most (if not all) of the approaches and techniques concerning intelligent, expert systems and specifically knowledge-based systems can still be considered in their infancy and definitely do not subscribe to any kind of standards. Many things have yet to be learned and incorporated into the technology and combined with methods from traditional computer science and psychology. KE-KIT is a prototype system which attempts to automate a portion of the knowledge engineering process. The emphasis is on the automation of knowledge acquisition activities. However, the transformation of knowledge from an intermediate form to a knowledge -base format is also addressed. The approach used to automate the knowledge acquisition process is based on the personal construct theory developed by George Kelly in the field of psychology. This thesis gives and in-depth view of knowledge engineering with a concentration on the knowledge acquisition process. Several issues and approaches are described. Greater details surrounding the personal construct theory approach to knowledge acquisition and its use of a repertory grid are given. In addition, some existing knowledge acquisition tools are briefly explored. Details concerning the implementation of KE-KIT and reflections on its applicability round out the presented material.
Library of Congress Subject Headings
Knowledge acquisition (Expert systems); Expert systems (Computer science)
Publication Date
1992
Document Type
Thesis
Student Type
Graduate
Department, Program, or Center
Computer Science (GCCIS)
Advisor
Biles, John A.
Advisor/Committee Member
Thiers, William G.
Advisor/Committee Member
Wolf, Walter
Recommended Citation
Parsons, John Scott, "Automated knowledge acquisition for knowledge-based systems: KE-KIT" (1992). Thesis. Rochester Institute of Technology. Accessed from
https://repository.rit.edu/theses/813
Campus
RIT – Main Campus
Comments
Note: imported from RIT’s Digital Media Library running on DSpace to RIT Scholar Works in December 2013.