Artificial intelligence techniques for mitigation of interoperability of distributed heterogeneous database systems
S. Modan, R. Peters · 2002
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.