Horst Goes Pop - Wieviel Musikempfehlung braucht der Mensch

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Holistic Recommendation and StoryTelling Technology (HORST): A blueprint, presented at the Future Music Barcamp at Pop Academy Mannheim Germany. Received lots of hate and love. This is NOT an academic in-depth talk although the scientific background is available in detail upon request. Enjoy!

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  • inviting you, old Jedi, I would like to, but the rebellion is out of travel budget for talks that are invited.
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  • hi leo,
    yes after 7 years of waiting finally the web of data convinced me and somebody has to take care of all these triples to create something meaningful, full credits go to Yves (now BBC) and Kurt and Chris (DBpedia) and all those other people having embraced the idea of linking open data ... including you! good luck in Vienna, if you want to you are allowed to invite me for a promo talk about Horst :)
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  • finally: semantic web is called hot stuff by an artist! we are there :-)
    Wish to meet Horst on the web!
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Horst Goes Pop - Wieviel Musikempfehlung braucht der Mensch

  1. 1. ES GEHT IMMER NOCH UM MUSIK. DIE LIEBE. DAS LEBEN.
  2. 2. EMOTION
  3. 3. UNIVERSAL TWIN
  4. 4. UNIQUE
  5. 5. GREAT STORIES
  6. 6. GREAT STORIES
  7. 7. GREAT STORIES
  8. 8. GREAT STORIES
  9. 9. GREAT STORIES
  10. 10. BLINDED BY SCIENCE
  11. 11. BLINDED BY SCIENCE
  12. 12. #1 “... 25 subjects ...“ #2 “... to the best of our knowledge ... “ #3 “... statistical evidence ... “ #4 “... over 14000 participants ...“ #5 “... not yet a science ... “ #6 “... unpredictable ... “ #7 .................... #8 ........... #9 ...... BLINDED BY SCIENCE
  13. 13. THE LIMITS OF CONTROL
  14. 14. THE LIMITS OF CONTROL
  15. 15. THE LIMITS OF CONTROL
  16. 16. HOT STUFF
  17. 17. HOT STUFF
  18. 18. Preliminary outline of tutorial Wed, 07/01/2009 - 13:29 — kurtjx Based on our proposal and some more recent discussions about what to include in the tutorial we have this very rough outline. Please comment about what you think is missing or what could be removed or minimized. We're looking for feedback! Introduction to the Web of Data - explaining the how and why of structured data on the Web * Web identifiers - URIs - for artists, albums, tracks, signals * RDF - triple - N3 primer * Ontologies enable inferencing * Linked Data - guidelines for the Web of Data * SPARQL query language * Music Ontology primer The Web of Data and Music in action - practical examples applied to music * SPARQL Myspace for Hungarian Rap music * SPARQL for BBC programmes featuring French music artists * Meshup DBpedia, Myspace, and Geonames for music artist recommendation Audio-based music analysis and the Semantic Web * Audio Features Ontology - a general framework for creating ad-hoc concepts for describing audio signal processing results * VAMP Ontology - representing VAMP audio analysis plugins * RDF in the recording studio Using the Web of Data yourself * Consuming and publishing RDF (MoPy, rdflib, Jena, librdf) * resource disambiguation - GNATlib and Musicbrainz * Publish your own data sets as Linked Data - Jena/Joseki, Cliopatria, D2R, Virtuoso, GNARQL * Ontology engineering (really brief primer) - use/extend existing ontologies where possible (DC, FOAF, MO, etc) * Add new comment HOT STUFF
  19. 19. HOMEWORK
  20. 20. 24 - 11Work - 7Sleep - 3Family = 3 Hours / Day 90 Hours / Month 5400 Min / Month EARTIME
  21. 21. 3 x CDmid-price + 1 x Concertindie = 54 Euro / Month BUDGET
  22. 22. 1 Euro / 100 Minutes BUSINESS MODEL?
  23. 23. HORST
  24. 24. Holistic Recommender & Storytelling Technology HORST
  25. 25. HATE IGNORE LOVE JOIN HORST

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