NoTube has produced a number of Web based demonstrators of project results
NoTube services and APIs
Recommendation
- the Linked Data Pattern-based Recommender: uses Linked Data as background knowledge to recommend programs. The Beancounter provides the user profiles (derived from the Social Web accounts of a user). Background knowledge in DBpedia, Freebaseand LinkedMDB are used to find potentially interesting commonalities between items and user interests. Two example of Pattern-based recommendations (generated real-time) are this and that.
- SKOS News recommender: leveraging Beancounter user profile (defined in terms of weighted interests) and DBpedia SKOS concepts (http://www.w3.org/2004/02/skos), it looks for matchings between user interests and news item concepts to find some interesting news for the user. Example here
Metadata Enrichment
- the Enriched EPG service: provides enriched EPG metadata data from BBC /programmes by using Lupedia to enrich program titles and people’s names.










