On Sun, Apr 24, 2016 at 1:15 PM, Raphaël Troncy <raphael.tro...@eurecom.fr> wrote: >> 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.
oh, that one is very interesting. just to add, offline is creating TED contents for over a year now: http://www.kiwix.org/wiki/TED the content is avialable for download here, search for "TED": http://www.kiwix.org/wiki/Content rupert _______________________________________________ Wikidata mailing list Wikidata@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/wikidata
