The inter-database instance identification problem in integrating autonomous systems

Author

Wang, Y. Richard ; Madnick, Stuart E.

Author_Institution

Sloan Sch. of Manage., MIT, Cambridge, MA, USA

fYear

1989

fDate

6-10 Feb 1989

Firstpage

46

Lastpage

55

Abstract

The issue of joining information about the same instance across disparate databases in a composite information system (CIS) environment is discussed. A technique called interdatabase instance identification is presented that is 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 next to identify the same instance. A detailed example of the interdatabase instance identification technique is presented using an operational research prototype

Keywords

data integrity; distributed databases; inference mechanisms; artificial intelligence techniques; attributes; autonomous systems; composite information system; database management systems; disparate databases; federated databases; inferencing rules; interdatabase instance identification problem; operational research prototype; Application software; Artificial intelligence; Communications technology; Computational Intelligence Society; Databases; Information systems; Information technology; Management information systems; Prototypes; Technology management;

fLanguage

English

Publisher

ieee

Conference_Titel

Data Engineering, 1989. Proceedings. Fifth International Conference on

Conference_Location

Los Angeles, CA

Print_ISBN

0-8186-1915-5

Type

conf

DOI

10.1109/ICDE.1989.47199

Filename

47199