Title :
The role of loose coupling in expert database system architectures
Author_Institution :
Dept. of Inf. Syst. & Syst. Eng., George Mason Univ., Fairfax, VA, USA
Abstract :
The author maintains that loose AI-DBMS (artificial intelligence-database-management system) coupling will thrive in the future. The specific approaches adopted for the coupling (loose or tight) of AI-DBMS systems will depend on engineering, economic, social, organizational factors. A number of applications involving the processing of knowledge and data are presented and classified in terms of their need for loose or tight coupling. The author asserts that both approaches are valid expert database system architectures, and both have a role in present and future systems and applications
Keywords :
database management systems; expert systems; AI-DBMS; expert database system architectures; loose coupling; tight coupling; Artificial intelligence; Authorization; Database systems; Expert systems; Information systems; Information technology; Knowledge engineering; Maintenance engineering; Systems engineering and theory; Transaction databases;
Conference_Titel :
Data Engineering, 1989. Proceedings. Fifth International Conference on
Conference_Location :
Los Angeles, CA
Print_ISBN :
0-8186-1915-5
DOI :
10.1109/ICDE.1989.47222