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Digital Maps and Automatic Narratives for the Interactive Global Histories
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  • Journal title : The Asian review of World Histories
  • Volume 4, Issue 1,  2016, pp.83-123
  • Publisher : The Asian Association of World Historians
  • DOI : 10.12773/arwh.2016.4.1.083
 Title & Authors
Digital Maps and Automatic Narratives for the Interactive Global Histories
CHEONG, Siew Ann; NANETTI, Andrea; FHILIPPOV, Mikhail;
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We describe a vision of historical analysis at the world scale, through the digital assembly of historical sources into a cloud-based database, where machine-learning techniques can be used to summarize the database into a time-integrated actor-to-actor complex network. Using this time-integrated network as a template, we then apply the method of automatic narratives to discover key actors (`who`), key events (`what`), key periods (`when`), key locations (`where`), key motives (`why`), and key actions (`how`) that can be presented as hypotheses to world historians. We show two test cases on how this method works. To accelerate the pace of knowledge discovery and verification, we describe how historians would interact with these automatic narratives through an online, map-based knowledge aggregator that learns how scholars filter information, and eventually takes over this function to free historians from the more important tasks of verification, and stitching together coherent storylines. Ultimately, multiple coherent storylines that are not necessary compatible with each other can be discovered through human-computer interactions by the map-based knowledge aggregator.
engineering historical memories;interactive global histories;automatic narratives;DIKW hierarchy;map-based knowledge aggregator;
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