Reference:
Thaller M..
Modeling of History: Today and in the Future
// Historical informatics. – 2017. – ¹ 3.
– P. 7-19.
DOI: 10.7256/2585-7797.2017.3.24731.
DOI: 10.7256/2585-7797.2017.3.24731
Read the article
Abstract: The article interprets the term “modeling” which has had a long history related to the development of computer applications in historical research. For instance, the international conference held by the Association “History and Computing” in Moscow in 1996 announced modeling the key topic. The author notes a special role of Willard McCarty who formed our understanding of modeling as a key point of all attempts to use information technologies in humanities as a whole. The author avoids the general character of “digital humanities” and limits the study of information technologies application by analytical historical studies. The article addresses foreground approaches to modeling (methodology aspects of modeling as well), computational algorithm models, models as computer devices, text models, models of meaning and models for computerized historical studies. It is the first time when all time-tested approaches to modeling in history are discussed. The author notes that the term “modeling” is well known but is still vague. McCarty’s original conception cannot be the most distinct definition of modeling as a precondition to use computer methods in humanities.
Keywords: information technologies, computing, simulation, marking, quantification, digital humanities, textual content, semantic technologies, models of meaning , modeling
References:
Berners-Lee, Tim and Hendler, James and Lassila, Ora: “The Semantic Web”, in: Scientific American Magazine, May 17th, 2001, https://www.scientificamerican.com/magazine/sa/2001/05-01/#article-the-semantic-web accessible Sept. 12th 2017.
Borodkin, Leonid and Doorn, Peter (eds): Data Modelling, Modelling History, Moscow, 2000.
Elton, Geoffrey R.: „Two kinds of History“, in: Robert W. Fogel and Geoffrey R. Elton: Which Road to the Past? Two Views of History, New Haven, 1983, pp. 73-129, here: pp. 119-120.
Fauconnier, Gilles and Turner, Mark: The Way we Think. Conceptual Blending and the Mind's Hidden Complexities, 2002.
Gardin, Jean Claude et al., Artificial Intelligence and Expert Systems, Chichester etc., 1988.
Greenstein, Daniel (ed.): Modelling Historical Data. Towards a Standard for Encoding and Exchanging Machine-Readable Texts. St. Katharinen, 1991.
Huff, Darrel: How to Lie with Statistics, New York, 1954.
Lakoff, George and Johnson, Mark: Metaphors we Live by, Chicago, 1980.
Laslet