Good news blog post: https://blog.wikimedia.org/2016/04/22/ted-wikimedia-collaboration/
Great news! I didn't know neither that Wikidata has unique identifiers for so many TED talks.
FYI, my group has worked 18 months ago on a prototype we called HyperTED. You can read about it at http://linkedup-project.eu/2014/10/14/vici-shortlist-hyperted/. There is also a presentation at http://www.slideshare.net/JosLuisRedondoGarca/hyperted-40494120. And you can play directly with the HyperTED prototype at http://linkedtv.eurecom.fr/HyperTED/
In a nutshell, we used the TED talk metadata (subtitles divided into paragraphs) in order to provide chapters to TED talks. We have annotated them automatically using named entity recognition and disambiguation tools and topic detection algorithms. Hence, entities are disambiguated to dbpedia (but this could also be wikidata entities). Finally, we have developed an algorithm that detects hot spots in TED talks (read the scientific paper at http://www.eurecom.fr/~troncy/Publications/Redondo_Troncy-iswc14.pdf). Ultimately, as soon you watch chapters of TED talks, we are recommending you other chapters of other TED talks that may be related (because of common entities and topics). Instead of being a traditional recommender system that suggests you other TED talks, we perform recommendation at the fragment level.
We are eager to receive any feedback. Be gentle with the demo, we are aware of some bugs and limitations.
Best regards. Raphaël -- Raphaël Troncy EURECOM, Campus SophiaTech Data Science Department 450 route des Chappes, 06410 Biot, France. e-mail: raphael.tro...@eurecom.fr & raphael.tro...@gmail.com Tel: +33 (0)4 - 9300 8242 Fax: +33 (0)4 - 9000 8200 Web: http://www.eurecom.fr/~troncy/ _______________________________________________ Wikidata mailing list Wikidata@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/wikidata
