Visions and open challenges for a knowledge-based culturomics

Forskningsoutput: TidskriftsbidragArtikel i vetenskaplig tidskrift


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.


  • 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
Enheter & grupper

Ämnesklassifikation (UKÄ) – OBLIGATORISK

  • Data- och informationsvetenskap
Sidor (från-till)169-187
TidskriftInternational Journal on Digital Libraries
Utgåva nummer2-4
StatusPublished - 2015
Peer review utfördJa