In order to provide automatic ontology-based multimedia annotation for producing linked data, scalable high-level media interpretation processes on (video) streams are required. In this paper we shortly describe an abductive media interpretation agent, and based on a Multimedia Content Ontology we introduce partitioning techniques for huge sets of time-related annotation assertions such that interpretation as well as retrieval processes refer to manageable sets of metadata.
