Abstract
Our article starts with an observation that street names fall into two general types: generic and historically inspired. We analyse street names distributions (of the second type) as a window to nation-level collective memory in Poland. The process of selecting street names is determined socially, as the selections reflect the symbols considered important to the nation-level society, but has strong historical motivations and determinants. In the article, we seek for these relationships in the available data sources. We use Wikipedia articles to match street names with their textual descriptions and assign them to the time points. We then apply selected text mining and statistical techniques to reach quantitative conclusions. We also present a case study: the geographical distribution of two particular street names in Poland to demonstrate the binding between history and political orientation of regions.
This work is supported by Polish National Science Centre grant 2012/05/B/ST6/03364.
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References
Anderson, A., McFarland, D., Jurafsky, D.: Towards a computational history of the acl: 1980-2008. In: Proceedings of the ACL 2012 Special Workshop on Rediscovering 50 Years of Discoveries, ACL 2012, pp. 13–21. Association for Computational Linguistics, Stroudsburg (2012), http://dl.acm.org/citation.cfm?id=2390507.2390510
Au Yeung, C.M., Jatowt, A.: Studying how the past is remembered: towards computational history through large scale text mining. In: Proceedings of the 20th ACM International Conference on Information and Knowledge Management, CIKM 2011, pp. 1231–1240. ACM, New York (2011), http://doi.acm.org/10.1145/2063576.2063755
Gander, L., Lezuo, C., Unterweger, R.: Rule based document understanding of historical books using a hybrid fuzzy classification system. In: Proceedings of the 2011 Workshop on Historical Document Imaging and Processing, HIP 2011, pp. 91–97. ACM, New York (2011), http://doi.acm.org/10.1145/2037342.2037358
Gellner, E.: Nations and Nationalism. Cornell University Press (1983)
Halbwachs, M.: La Mémoire collective. Presses Universitaires de France (1950)
Jaworski, W.: Contents modelling of neo-sumerian ur iii economic text corpus. In: Proceedings of the 22nd International Conference on Computational Linguistics, COLING 2008, vol. 1, pp. 369–376. Association for Computational Linguistics, Stroudsburg (2008), http://dl.acm.org/citation.cfm?id=1599081.1599128
Takahashi, Y., Ohshima, H., Yamamoto, M., Iwasaki, H., Oyama, S., Tanaka, K.: Evaluating significance of historical entities based on tempo-spatial impacts analysis using wikipedia link structure. In: Proceedings of the 22nd ACM Conference on Hypertext and Hypermedia, HT 2011, pp. 83–92. ACM, New York (2011), http://doi.acm.org/10.1145/1995966.1995980
Thiel, S., Pippig, K., Burghardt, D.: Analysis of street names regarding the designation of cities. In: Buchroithner, M.F. (ed.) Proceedings of the 26th International Cartographic Conference. International Cartographic Association (2013)
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Nielek, R., Wawer, A., Wierzbicki, A. (2014). Collective Memory in Poland: A Reflection in Street Names. In: Nadamoto, A., Jatowt, A., Wierzbicki, A., Leidner, J.L. (eds) Social Informatics. SocInfo 2013. Lecture Notes in Computer Science, vol 8359. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-55285-4_11
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DOI: https://doi.org/10.1007/978-3-642-55285-4_11
Publisher Name: Springer, Berlin, Heidelberg
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