Title :
Inter-database instance identification in composite information systems
Author :
Wang, Y. Richard ; Madnick, Stuart E. ; Horton, David C.
Author_Institution :
Sloan Sch. of Manage., MIT, Cambridge, MA, USA
Abstract :
An examination is made of the issue of joining information about the same instance across disparate databases in a CIS (composite information system) environment. A technique called interdatabase instance identification is presented. It uses a combination of database management systems and artificial intelligence techniques. Common attributes in the disparate databases are applied first to reduce the number of potential candidates for the same instance. Other attributes in these databases, auxiliary databases, and inferencing rules are utilized to identify the same instance. A detailed example of the interdatabase instance identification technique is presented, using an operational research prototype
Keywords :
distributed databases; inference mechanisms; knowledge based systems; artificial intelligence techniques; composite information systems; database management systems; disparate databases; federated systems; inferencing rules; integrated information systems; inter-database instance identification; interdatabase instance identification; operational research prototype; Artificial intelligence; Computational Intelligence Society; Database systems; Distributed databases; Education; Information processing; Information systems; Management information systems; Prototypes; Technology management;
Conference_Titel :
System Sciences, 1989. Vol.III: Decision Support and Knowledge Based Systems Track, Proceedings of the Twenty-Second Annual Hawaii International Conference on
Conference_Location :
Kailua-Kona, HI
Print_ISBN :
0-8186-1913-9
DOI :
10.1109/HICSS.1989.49184
