License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/OASIcs.CMN.2014.241
URN: urn:nbn:de:0030-drops-46601
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2014/4660/
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van Erp, Marieke ; Fokkens, Antske ; Vossen, Piek

Finding Stories in 1,784,532 Events: Scaling Up Computational Models of Narrative

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Abstract

Information professionals face the challenge of making sense of an ever increasing amount of information. Storylines can provide a useful way to present relevant information because they reveal explanatory relations between events. In this position paper, we present and discuss the four main challenges that make it difficult to get to these stories and our first ideas on how to start resolving them.

BibTeX - Entry

@InProceedings{vanerp_et_al:OASIcs:2014:4660,
  author =	{Marieke van Erp and Antske Fokkens and Piek Vossen},
  title =	{{Finding Stories in 1,784,532 Events: Scaling Up Computational Models of Narrative}},
  booktitle =	{2014 Workshop on Computational Models of Narrative},
  pages =	{241--245},
  series =	{OpenAccess Series in Informatics (OASIcs)},
  ISBN =	{978-3-939897-71-2},
  ISSN =	{2190-6807},
  year =	{2014},
  volume =	{41},
  editor =	{Mark A. Finlayson and Jan Christoph Meister and Emile G. Bruneau},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2014/4660},
  URN =		{urn:nbn:de:0030-drops-46601},
  doi =		{10.4230/OASIcs.CMN.2014.241},
  annote =	{Keywords: big data, news, aggregation, story detection}
}

Keywords: big data, news, aggregation, story detection
Collection: 2014 Workshop on Computational Models of Narrative
Issue Date: 2014
Date of publication: 08.08.2014

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