ERIC Number: ED192797
Record Type: RIE
Publication Date: 1980-Jan
Reference Count: 0
Matching and Abstraction in Knowledge Systems.
This paper discusses the theoretical problem of matching and abstraction of concepts as the processes occur in human minds, and the structures used to represent these processes for use in automated, knowledge based systems. A basic premise of the paper is that hierarchies play a crucial role in structuring knowledge and in solving problems. Data representation, knowledge bases, partial matching, information retrieval, and synthesis of novel semantic interpretations are explored. Finally, key research issues are identified. (SW)
Descriptors: Abstract Reasoning, Artificial Intelligence, Automation, Databases, Information Processing, Information Retrieval, Information Science, Language Processing, Pattern Recognition, Problem Solving
Rand Corporation, 1700 Main Street, Santa Monica, CA 90406 (P-6440; $3.00 per copy).
Publication Type: Information Analyses; Speeches/Meeting Papers
Education Level: N/A
Authoring Institution: Rand Corp., Santa Monica, CA.
Identifiers: Knowledge Based Systems
Note: Paper presented at the Annual Meeting of the American Society for Information Science (Minneapolis, MN, October 14-18, 1979).