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Provenance and Validation from the Humanities to Automatic Acquisition of Semantic Knowledge and Machine Reading for News and Historical Sources Indexing/Summary

  • NANETTI, Andrea (School of Art, Design and Media, Nanyang Technological University) ;
  • LIN, Chin-Yew (Knowledge Mining Group, Microsoft Research) ;
  • CHEONG, Siew Ann (School of Physical and Mathematical Sciences, Nanyang Technological University)
  • Published : 2016.05.07

Abstract

This paper, as a conlcusion to this special issue, presents the future work that is being carried out at NTU Singapore in collaboration with Microsoft Research and Microsoft Azure for Research. For our research team the real frontier research in world histories starts when we want to use computers to structure historical information, model historical narratives, simulate theoretical large scale hypotheses, and incent world historians to use virtual assistants and/or engage them in teamwork using social media and/or seduce them with immersive spaces to provide new learning and sharing environments, in which new things can emerge and happen: "You do not know which will be the next idea. Just repeating the same things is not enough" (Carlo Rubbia, 1984 Nobel Price in Physics, at Nanyang Technological University on January 19, 2016).

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References

  1. John R. Frank, Ian Soboroff, Max Kleiman-Weiner, and Dan A. Roberts, “Entity-Oriented Filtering of Large Streams,”http://www.nist.gov/tac/publications/2012/presentations/KBA-2012-overview.ppt.
  2. http://www.pbs.org/newshour/bb/media-july-dec08-unitedstock_09-09/