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Ouvrages Année : 2015

Visualizing Data for Digital humanities

Melissa Terras
Steven Gray
  • Fonction : Directeur scientifique
Glenn Roe

Résumé

The goal of this proposal is to explore efficient methods to extract information from texts and produce meaningful and readable representations. It is well known that we are now facing an information deluge and experts in different domains, especially social sciences and literary studies, have long acknowledge that available texts –and more generally the mass of data available through different media– now constitutes one of the important source of knowledge. However, computers are unable to directly access information encoded through texts: this is information should first be extracted, normalized, and structured in order to be usable. Moreover, meaningful representations need to be provided so as to make it usable by humans. This while process is not trivial and more and more groups have to face this dilemma: information is here, available on the Web or in more remote databases, but its manipulation is hard since it requires a complex process most of the time out of hands of social scientists and experts of literary studies. The goal of this workshop is to practically address the question.
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Dates et versions

hal-01173965 , version 1 (08-07-2015)

Identifiants

  • HAL Id : hal-01173965 , version 1

Citer

Thierry Poibeau, Melissa Terras, Pablo Ruiz, Steven Gray, Glenn Roe (Dir.). Visualizing Data for Digital humanities: Producing Semantic Maps with Information extracted from Corpora and other Media. 2015, Proceedings of the conference "Digital Humanities 2015". ⟨hal-01173965⟩
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