Serving the city: an automatic information extraction for mapping Amsterdam nightlife (1820-1940)
Alliance of Digital Humanities Organizations (ADHO)
In15th Annual International Conference of the Alliance of Digital Humanities Organizations
International Conference of the Alliance of Digital Humanities Organizations, DH 2020
Article in monograph or in proceedings
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Economische, Sociale en Demografische Geschiedenis
15th Annual International Conference of the Alliance of Digital Humanities Organizations
This paper discusses how automatic information extraction and linked data can facilitate long-term socio-spatial analyses in urban history, using as a case study a long-term spatial analysis of the development of urban nightlife and entertainment industry in Amsterdam. We demonstrate how automatic information extraction of civil and trade registries can corroborate and validate information found in these sources, using duplicate information from the sources themselves as well as other published corpora that contain overlapping information. We present a technique that greatly reduces the need for manual revision of the data.
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