System for ontological evaluation and filtering of digital content evaluates metadata associated with content available from an original content server. The metadata is filtered and evaluated by a processing cluster to develop correlation among content for the formation of content “channels”. In general, the filtering and evaluation criteria use predictive algorithms and seek to identify content that is likely to be desired for download by the consumers located at, for example, a particular multi-dwelling unit. The content, once so correlated, is then grouped or aggregated into “channels”.