Architecture for an Intelligent Distributed Database

Abstract

In this paper we present an architecture for an intelligent distributed database. It integrates different kinds of database, such as relational, object-oriented, temporal, knowledge, deductive and multimedia databases, among others. In our approach we are using concepts from federate databases, fuzzy classified systems; and a database integration methodology. The architecture is based on a bridge as a mediator and uses learning machines to manage events, data and knowledge.

Integration Ontology for Distributed Database

“…These works use the architecture for federated databases of Shet&Larson [10]. In previous works [8] we have represented an architecture for the integration of database where it is necessary a canonical model. Like continuation of that work, in this article the ontological taxonomies that compose the databases integration architecture are described, and the Canonical Model is designed using this ontological notion.…”