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!

1. ES GEHT IMMER NOCH UM
MUSIK. DIE LIEBE. DAS LEBEN.

2. EMOTION

3. UNIVERSAL TWIN

4. UNIQUE

5. GREAT STORIES

6. GREAT STORIES

7. GREAT STORIES

8. GREAT STORIES

9. GREAT STORIES

10. BLINDED BY SCIENCE

11. BLINDED BY SCIENCE

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. THE LIMITS OF CONTROL

14. THE LIMITS OF CONTROL

15. THE LIMITS OF CONTROL

16. HOT STUFF

17. HOT STUFF

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. HOMEWORK

20. 24 - 11Work - 7Sleep - 3Family = 3 Hours / Day
90 Hours / Month
5400 Min / Month
EARTIME

21. 3 x CDmid-price + 1 x Concertindie = 54 Euro / Month
BUDGET

22. 1 Euro / 100 Minutes
BUSINESS MODEL?

23. HORST

24. Holistic Recommender & Storytelling Technology
HORST

25. HATE
IGNORE
LOVE
JOIN
HORST