• Big Data and Public History 

      Clavert, Frédéric <University of Luxembourg>; Wieneke, Lars <University of Luxembourg> (F. Clavert, L. Wieneke, "Big Data and Public History", in Handbook of Digital Public History, Berlin, Boston: De Gruyter Oldenbourg, 2022, pp. 447-458, 2022)
      In this chapter, we define big data in history in three ways: (1) big data implies the use of an amount of data that the historian’s personal computer cannot deal with; (2) the data historians are using must be either ...
    • Exploring Large-Scale Digital Archives – Opportunities and Limits to Use Unsupervised Machine Learning for the Extraction of Semantics 

      Van Hooland, Seth <Vrije Universiteit Brussel>; Coeckelbergs, Mathias <Université libre de Bruxelles> (S. van Hooland, M. Coeckelbergs, "Exploring Large-Scale Digital Archives – Opportunities and Limits to Use Unsupervised Machine Learning for the Extraction of Semantics", in Handbook of Digital Public History, Berlin, Boston: De Gruyter Oldenbourg, 2022, pp. 517-530, 2022)
      The current excitement in regards to machine learning has spurred enthu-siasm amongst collection holders and historians alike to rely on algorithms to re-duce the amount of manual labor required for management and appraisal ...