Matching and Abstraction in Knowledge Systems.
Saved in:
| Title: | Matching and Abstraction in Knowledge Systems. |
|---|---|
| Language: | English |
| Authors: | Hayes-Roth, Frederick, Rand Corp., Santa Monica, CA. |
| Availability: | Rand Corporation, 1700 Main Street, Santa Monica, CA 90406 (P-6440; $3.00 per copy). |
| Peer Reviewed: | N |
| Page Count: | 40 |
| Publication Date: | 1980 |
| Document Type: | Information Analyses Speeches/Meeting Papers |
| Descriptors: | Abstract Reasoning, Artificial Intelligence, Automation, Databases, Information Processing, Information Retrieval, Information Science, Language Processing, Pattern Recognition, Problem Solving |
| Abstract: | 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) |
| Entry Date: | 1981 |
| Accession Number: | ED192797 |
| Database: | ERIC |
| Abstract: | 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) |
|---|
