Abstract: 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”.

Abstract: 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”.

Abstract: System and method for distributing channelized content to a plurality of cohesive local networks. The channelized content is aggregated at a remote central processor with associated storage according to ontological relevancy, and then distributed over a network such as the internet to the local networks. The consumers connected to the respective local networks receive that channelized data with low latency and improved data rates.