This paper will describe the next generation of hybrid scalable classification systems that combine social tagging, machine-learning and traditional library classification approaches. It will also discuss approaches to the related challenge of aggregating light-weight community-generated tags with complex MPEG-7 descriptions and discipline-specific ontologies through common, extensible upper ontologies - to enhance discovery and re-use of multimedia content across disciplines and communities.