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Visions and open challenges for a knowledge-based culturomics

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Author

  • Nina Tahmasebi
  • Lars Borin
  • Gabriele Capannini
  • Devdatt Dubhashi
  • Peter Exner
  • Markus Forsberg
  • Gerhard Gossen
  • Fredrik D Johansson
  • Richard Johansson
  • Mikael Kågebäck
  • Olof Mogren
  • Pierre Nugues
  • Thomas Risse
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Summary, in English

The concept of culturomics was born out of the availability of massive amounts of textual data and the interest to make sense of cultural and language phenomena over time. Thus far however, culturomics has only made use of, and shown the great potential of, statistical methods. In this paper, we present a vision for a knowledge-based culturomics that complements traditional culturomics. We discuss the possibilities and challenges of combining knowledge-based methods with statistical methods and address major challenges that arise due to the nature of the data; diversity of sources, changes in language over time as well as temporal dynamics of information in general. We address all layers needed for knowledge-based culturomics, from natural language processing and relations to summaries and opinions.

Publishing year

2015

Language

English

Pages

169-187

Publication/Series

International Journal on Digital Libraries

Volume

15

Issue

2-4

Document type

Journal article

Publisher

Springer

Topic

  • Computer and Information Science

Status

Published

ISBN/ISSN/Other

  • ISSN: 1432-5012