An ontology-driven enterprise architecture framework is presented that provides substantial benefits over conventional representations of traditional architecture domains such as business, data, application, and systems. These benefits range from the tractable synthesis of large and complex domains, improved architecture maintainability and evolution, and more effective analyses of architecture improvement scenarios. An enhanced architecture meta-model is presented, followed by an ontology framework that emphasizes composition via sub-ontologies and normalization. Tools and techniques for ontology persistence, development, testing, reasoning, querying, and visualization that constitute the solution landscape are also discussed. Finally, a set of recommendations provides guidance on selecting the right mix of technologies and tools to compose and interpret enterprise solutions.
Journal of Enterprise Architecture