This may very well be a very dumb question - if so apologies. If the bbc published all it's programmes as linked data and all the artists in musicbrainz played on/by the bbc as linked data and public data foaf profiles of all users of the bbc as linked data could be use this data as a data mining, recommendation, personalisation tool?
say we publish programme:episode a plays music:track b by music:artist c who's liked by foaf:person d. Then use the links out from brainz to dbpedia to cluster artist c and artist e by location etc (or any data we/brainz don't have but which is linked). Could we start to do music recommendation by traversing the rest of the graph? do hope this makes sense. is there any work going on to do recommendation engines over the lod graph? if so where? is rdf the right tool for this kind of thing? agai apologies if this is all a bit vague... it is a friday ;-) http://www.bbc.co.uk/ This e-mail (and any attachments) is confidential and may contain personal views which are not the views of the BBC unless specifically stated. If you have received it in error, please delete it from your system. Do not use, copy or disclose the information in any way nor act in reliance on it and notify the sender immediately. Please note that the BBC monitors e-mails sent or received. Further communication will signify your consent to this.
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