Theory and practice in ontology management are drifting away from monolithic ontologies towards ontology networks. Processing interconnected knowledge models, e.g. through reasoning, can provide greater amounts of explicit knowledge, but at a high computational cost if the whole knowledge base has to be handled by concurrent processes. Our research tackles this problem via a software engineering approach. We devised a framework that combines privileged containers for ontology models with volatile containers for instance data that vary frequently. A reference implementation was developed in an Apache project for content management, and its adoption is providing data and use cases for validating it with objects from Fedora Commons repositories.
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