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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
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  • Journal title : The Asian review of World Histories
  • Volume 4, Issue 1,  2016, pp.125-132
  • Publisher : The Asian Association of World Historians
  • DOI : 10.12773/arwh.2016.4.1.125
 Title & Authors
Provenance and Validation from the Humanities to Automatic Acquisition of Semantic Knowledge and Machine Reading for News and Historical Sources Indexing/Summary
NANETTI, Andrea; LIN, Chin-Yew; CHEONG, Siew Ann;
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 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).
 Keywords
Provenance;Validation;World Histories;Big Data;Data Science;
 Language
English
 Cited by
 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/