Artificial intelligence techniques for mitigation of interoperability of distributed heterogeneous database systems

Author

Modan, S. ; Peters, Randal

Author_Institution

Dept. of Electr. & Comput. Eng., Alberta Univ., Edmonton, Alta., Canada

Volume

1

fYear

1997

fDate

25-28 May 1997

Firstpage

245

Abstract

As business corporations continue to expand, there is growing importance of distributed computing and distributed databases. Distributed databases are generally heterogeneous, large, and complex. A likely scenario is an eventual existence of a variety of heterogeneous interoperating databases distributed over a network, which gives rise to the interoperability problem. The paper proposes the use of artificial intelligence techniques to address the problem of interoperability

Keywords

blackboard architecture; distributed databases; electronic data interchange; open systems; artificial intelligence techniques; business corporations; distributed computing; distributed databases; distributed heterogeneous database systems interoperability; heterogeneous interoperating databases; interoperability problem; Application software; Artificial intelligence; Control systems; Distributed computing; Distributed databases; Object oriented databases; Object oriented modeling; Production systems; Relational databases; Transaction databases;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical and Computer Engineering, 1997. Engineering Innovation: Voyage of Discovery. IEEE 1997 Canadian Conference on

Conference_Location

St. Johns, Nfld.

ISSN

0840-7789

Print_ISBN

0-7803-3716-6

Type

conf

DOI

10.1109/CCECE.1997.614835

Filename

614835