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Description/requirements for D2.3 and (related) T2.4:

(from work packages in grant agreement - https://drive.google.com/open?id=0B4Qow4ezpDrNcnFScklybVZyNXc ) -

D2.3 SlideWiki annotator module (M15). SlideWiki component for semi-automatic semantic annotation of content using the ontologies and existing vocabularies.

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Could reuse RDFaCE ((from T2.4 description grant agreement. contact Ali Khalili needs TinyMCE → disable other editing options. RDFaCe is not fully dependend on TinyMCE, could have standalone version?) - would however maybe too much code added → large vendor.js/main.js bad for performance. Also see http://www.qucosa.de/recherche/frontdoor/?tx_slubopus4frontend%5bid%5d=urn:nbn:de:bsz:15-qucosa-159956 for background information on RDFaCe. http://youtu.be/wxtlAol4HB0 Ali Khalili - The RDFaCe Demos do not work for me (they used to work though I remember)

Another example - in-page annotation in ArchiMind (contact Klaas Andries de Graaf , see http://tinyurl.com/gr482q4 and http://tinyurl.com/jqdekz9 for information)

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So then it would seem a natural extension to also have an option for semantic annotation in there


  • Option: 



Use case + Research questions - annotation of educational concepts (by Klaas Andries de Graaf , in Dutch, sorry (smile) )

  • Klaas - RQ: Do in-slide semantic annotations and (possibly) domain ontology of teaching materials/didactic help learners (slide consumers) and teachers/instructors (slide consumers) in better learning (better grade results, better understanding, support for diverse students (languages)) + better learning analytics? Relates to use case 1, 2 (for analytics) + use case 4 + use case 5
  • Klaas - RQ: Can we infer new knowledge based on annotations on slides? Relates to use case 1 + use case 3 + use case 4 + use case 5
  • Klaas - RQ: can we propose an ontology + instances + relationships + complete knowledge base for a certain deck/lecture series based on the annotated instances in a deck/series of slides? Relates to use case 1, 2, 3
  • Klaas - Can we generate exams based on semantic annotations/representation?

View/user mode:

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Based on custom ontology:

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