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

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