Event-driven ontology updating

Ontologies, as reliable resources in decision making processes, need to be accurate and up-to-date. For this purpose, ontologies have to be maintained regularly. Manual updating is tedious and time consuming, therefore we propose an event-driven automated ontology updating approach. The Ontology Update Language (OUL) and our proposed extensions are inspired by the existing SQL-triggers mechanism and make use of SPARQL and SPARQL/Update statements. We propose different execution models, providing flexibility with respect to the update process. As a proof-of-concept, we implement the language and its execution models in the Hermes News Portal (HNP), an ontology-based news personalization service.

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