Multi-temporal RDF Ontology Versioning

In this paper, we present a multi-temporal RDF database model employing triple timestamping with temporal elements, which best preserves in the multi-temporal setting the scalability property enjoyed by triple storage technologies. The data model is equipped with manipulation operations which allow knowledge engineers to maintain a multi-temporal RDF database in order to manage temporal versions of an ontology.

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