Hello, > We are now trying to better understand what are the repercussions of > that change in respect to the current status of the rest of the model > (multiplicity, semantic tagging, JSON-LD and so on). > Ideally simple annotations should be simple to create.... and complex > annotation should be possible without providing parallel solutions (or > duplicates) in the model. I know, I'm following this since quite a while ... > As this is the first time you intervene on the mailing list, could you > provide a little more context? About LinkedTV? Simply annotating TV programs at a very fine grained level, using media fragments URI to address regions of images and video sequences. Annotations are obtained automatically from a a broad range of multimedia analysis techniques, or NLP processing (mainly NER) on video transcripts. We will have many more concrete demos online, but only from next month. > Do you use - or plan to use - multiple types of annotations in your system? Yes, in the sense some annotations are plain text, and some are structured > If yes, how do you classify them? What do you mean exactly? If we reify and further characterize the annotation relationship? > Do you support multiple bodies? The body could be a literal (typically a keyword spotted in some text) or a resource (a URI disambiguating a named entity) or a more complex RDF graph. > Do you need to annotate annotations? We already attach provenance information using PROV to the annotations we generate. > Are you already - or planning to - sharing the annotations? All our annotations are dereferencable URIs, and yes, everything will be available to 3rd party soon. Best regards. Raphaël -- Raphaël Troncy EURECOM, Campus SophiaTech Multimedia Communications Department 450 route des Chappes, 06410 Biot, France. e-mail: raphael.troncy@eurecom.fr & raphael.troncy@gmail.com Tel: +33 (0)4 - 9300 8242 Fax: +33 (0)4 - 9000 8200 Web: http://www.eurecom.fr/~troncy/Received on Friday, 11 January 2013 21:07:09 UTC
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