Selection Methods of Quantitative Processing of Digital Data in Scientific Heritage Studies (A Case Study of Georgy F. Gause's scientific ideas)
Abstract
The methods of newly appeared field of Digital Humanities are getting more and more popular in the history of science. These methods influence the establishing of digital information resources accumulating and aggregating huge amount of metadata and full text publications. In a previous publication, we used an example of a Russian evolutionary biologist and ecologist Georgy F. Gause to preliminary estimate the potential of digital resources for the science studies including history of science. We selected prioritized resources to be used in further research.
The present study explores the methods of selection, processing and quantitative analysis of data extracted from digital information resources. Our concentration is on the digital information resources offering structured metadata. We selected processed and visualized extracted metadata. Based on the analysis of the achieved results we concluded on the potential of using digital information resources in the history of science. Besides, the possibility of extracting unstructured metadata has been explored.
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Borisov N.V. Mul'timedia-rekonstrukcija teatral'nogo sobytija. Prem'era spektaklja «Chajka» na Aleksandrinskoj scene 17 oktjabrja 1896 g. / Borisov N.V., Nikitin A.V., Smolin A.A., Trushin V.A., Chepurov A.A., Chepurova O.A. // Kul'tura i tehnologii. 2016. Tom 1. Vyp. 1. S. 15-23. URL: http://cat.ifmo.ru/ru/2016/v1-i1/65
Borodkin L. I. Virtual'nye rekonstrukcii istoricheskoj gorodskoj zastrojki: novye tehnologii prezentacii muzejnyh jekspozicij // Rol' muzeev v informacionnom obespechenii istoricheskoj nauki: sbornik statej. M.: Jeterna, 2015. S. 386–395.
Borodkin L.I. Virtual'naja rekonstrukcija monastyrskih kompleksov Moskvy: proekty v kontekste Digital Humanities // Vestnik Permskogo universiteta. Serija: Istorija]. 2014. # 3 (26). S. 107-112.
Gall Ja.M. Georgij Francevich Gauze (1910-1986). SPb: Nestor-Istorija, 2012. 234 s.
Garskova I.M. Informacionnoe obespechenie gumanitarnyh issledovanij v cifrovuju jepohu: modeli formirovanija i razvitija // Vestn. Perm. un-ta. Ser. Istorija. 2014. #3 (26). S. 76-86.
Donina O.V. Primenenie metodov Data Mining dlja reshenija lingvisticheskih zadach // Vestnik Voronezhskogo gosudarstvennogo universiteta. Serija: Sistemnyj analiz i informacionnye tehnologii. 2017. # 1. S. 154-160.
Kukovjakin A.V., Ljapin S.H. Prostranstvo Lomonosova: opyt funkcional'noj integracii virtual'nogo atlasa i polnotekstovoj biblioteki // Kul'tura i tehnologii. 2017. Tom 2. Vyp. 1. S. 6-12. URL: http://cat.ifmo.ru/ru/2017/v2-i1/98
Majer-Shenberger V., Kuk'er K. Bol'shie dannye. Revoljucija, kotoraja izmenit to, kak my zhivem, rabotaem i myslim. M.: Mann, Ivanov i Ferber. 2014. 240 s.
Prokudin D.E., Levit G.S. Metody otbora cifrovyh informacionnyh resursov na primere issledovanii vlijanija nauchnyh idej G.F. Gauze na razvitie nauki // Nauchnyj servis v seti Internet: trudy XIX Vserossijskoj nauchnoj konferencii (18 – 23 sentjabrja 2017 g., g. Novorossijsk). — M.: IPM im. M. V. Keldysha, 2017. S. 389-399. DOI: 10.20948/abrau-2017-75
Borisov N.V., Volkov O.G., Nikitina L.L., Nikolaev A.O., Smolin A.A., Stolyarov D.A. Application of Video 360deg Technology for the Presentation of the Solovetsky Monastery Cultural Heritage // Kul'tura i tehnologii. 2016. Tom 1. Vyp. 1. S. 24-31 URL: http://cat.ifmo.ru/en/2016/v1-i1/88
Damerow J., Peirson B.R.E., Laubichler M.D. The Giles Ecosystem – Storage, Text Extraction, and OCR of Documents // Journal of Open Research Software. 2017. 5 (1). P. 26. DOI: 10.5334/jors.164
Huijnen P., Laan F., de Rijke M., Pieters T. A Digital Humanities Approach to the History of Science Eugenics Revisited in Hidden Debates by Means of Semantic Text Mining // SOCIAL INFORMATICS, SOCINFO 2013, Lecture Notes in Computer Science. 2014. Vol. 8359. Pp. 70 – 84.
Jockers M.L., Underwood T. Text-Mining the Humanities, in A New Companion to Digital Humanities /eds S. Schreibman, R. Siemens and J. Unsworth. John Wiley & Sons, Ltd, Chichester, 2015. DOI: 10.1002/9781118680605.ch20
Kaplan F. A map for big data research in digital humanities // Front. Digit. Humanit. 2015. Vol. 2 (1). DOI: 10.3389/fdigh.2015.00001
Kolchinsky E.I., Hossfeld U., Kutschera U., Levit G.S. The revival of Lysenkoism in Russia and epigenetics // Current Biology. 2017. Vol. 27 (19). P. 1042-1047. DOI: 10.1016/j.cub.2017.07.045
Manning P. Big data in history. Palgrave, 2013.
Prokudin D., Levit G., Hossfeld U. Selection Methods of Digital Information Resources for Scientific Heritage Studies: A Case Study of Georgy F. Gause // Internet and Modern Society: Proceedings of the International Conference IMS-2017 (St. Petersburg; Russian Federation, 21-24 June 2017) / Eds Radomir V. Bolgov, Nikolai V. Borisov, Leonid V. Smorgunov, Irina I. Tolstikova, Victor P. Zakharov. ACM International Conference Proceeding Series. N.Y.: ACM Press, 2017. ix, 291 p. P. 69-74. DOI: 10.1145/3143699.3143739
Sinn D. Impact of digital archival collections on historical research // J. Am. Soc. Inf. Sci. 2012. Vol. 63. P. 1521–1537. DOI: 10.1002/asi.22650
Sinn D., Soares N. Historians' use of digital archival collections: The web, historical scholarship, and archival research // J Assn Inf Sci Tec. 2014. Vol. 65. P. 1794–1809. DOI: 10.1002/asi.23091
Toon E., Timmermann C., Worboys M. Text-Mining and the History of Medicine: Big Data, Big Questions? // Medical History. 2016. Vol. 60 (2). P. 294–296. DOI: 10.1017/mdh.2016.18
Vine R. "Google Scholar" // Journal of the Medical Library Association. 2006. Vol. 94 (1). P. 97–99. PMC 1324783
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