Frameworks like Zachman lay the ground work for semantic integration or intelligence by isolating the various factorial elements into the (five) Ws groupings however in order to realize the benefit of this analysis the enterprise needs to re-integrate the elements according to its business language.

Adding reference models provides a means of re-seeding the business vocabulary structures that drive the SOA implementation especially between two independent businesses across a boundary. However our experience indicates that this can be improved by extending the reference models to include semantic context and completeness rules early. Using business semantic context models to re-integrate the business information elements that appear at the Scope and Context perspectives the framework is the foundational point to addressing the issue of Interoperability.

A semantic integration platform is simply a means that permits multiple, legacy information models to be aligned (/mapped) to common business semantic context models using an information reference model which itself reflects the concepts defined in a strategic reference (concepts) model. When these models are completed and combined with a means to provide semantic context-based information replication and security rules then significant gains in interoperability are achieved.

Macklin IR provides clients with the frameworks that can be used to manage the integration of various legacy models including semantic context model integration and context-based information exchange. This re-engineering of the information architecture will result in self-evaluating (testable) semantic integration.