Knowledge base management systems from AI perspective: a survey

Author

Parker, Sandra M. ; Parker, Robert B.

Author_Institution

McDonnell Douglas Corp., Long Beach, CA, USA

fYear

1989

fDate

22-26 May 1989

Firstpage

1160

Abstract

The authors survey the current state of knowledge-based and database management systems and suggest possible research directions for their integration into a knowledge-base management system. They define the requirements for the architecture and realization of such a system, and analyze methods for knowledge acquisition, knowledge verification, knowledge communication, configuration management, and knowledge processing. Several possible research strategies are analyzed: enhancements of existing systems, coupling of independent systems, and technology integration to develop a new class of systems

Keywords

database management systems; knowledge based systems; knowledge engineering; research and development management; AI; architecture; configuration management; database management systems; integration; knowledge acquisition; knowledge communication; knowledge processing; knowledge verification; knowledge-base management system; knowledge-based systems; research strategies; Artificial intelligence; Database systems; Deductive databases; Distributed databases; Knowledge based systems; Knowledge management; Knowledge representation; Object oriented databases; Relational databases; Spatial databases;

fLanguage

English

Publisher

ieee

Conference_Titel

Aerospace and Electronics Conference, 1989. NAECON 1989., Proceedings of the IEEE 1989 National

Conference_Location

Dayton, OH

Type

conf

DOI

10.1109/NAECON.1989.40355

Filename

40355