An overview of Knowledge Representation
- 23 June 1980
- journal article
- Published by Association for Computing Machinery (ACM) in ACM SIGPLAN Notices
- Vol. 16 (1) , 5-12
- https://doi.org/10.1145/960124.806869
Abstract
This is a brief overview of terminology and issues related to Knowledge Representation (here-after KR) research, intended primarily for researchers working on Semantic Data Models within Database Management and Program Specifications within Programming Languages/Software Engineering. Knowledge Representation is a central problem in Artificial Intelligence (AI) today. Its importance stems from the fact that the current design paradigm for “intelligent” systems stresses the need for expert knowledge in the system along with associated knowledge-handling facilities. This paradigm is in sharp contrast to earlier ones which might be termed “power-oriented” [Goldstein and Papert 77] in that they placed an emphasis on general purpose heuristic search techniques [Nilsson 71].This publication has 5 references indexed in Scilit:
- Special issue on knowledge representationACM SIGART Bulletin, 1980
- NETLPublished by MIT Press ,1979
- Two Views of Data Semantics: a Survey of Data Models in Artificial Intelligence and Database ManagementINFOR: Information Systems and Operational Research, 1977
- Program development by stepwise refinementCommunications of the ACM, 1971
- A relational model of data for large shared data banksCommunications of the ACM, 1970