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Knowledge acquisition from natural language for expert systems based on classification problem-solving methodsIt is shown how certain kinds of domain independent expert systems based on classification problem-solving methods can be constructed directly from natural language descriptions by a human expert. The expert knowledge is not translated into production rules. Rather, it is mapped into conceptual structures which are integrated into long-term memory (LTM). The resulting system is one in which problem-solving, retrieval and memory organization are integrated processes. In other words, the same algorithm and knowledge representation structures are shared by these processes. As a result of this, the system can answer questions, solve problems or reorganize LTM.
Document ID
19910048586
Document Type
Conference Paper
Authors
Gomez, Fernando (Central Florida, University Orlando, United States)
Date Acquired
August 14, 2013
Publication Date
October 1, 1989
Subject Category
COMPUTER PROGRAMMING AND SOFTWARE
Funding Number(s)
CONTRACT_GRANT: NAG10-0058
Distribution Limits
Public
Copyright
Other