Semantic Deep Mapping in the Amsterdam Time Machine: Viewing Late 19th- and Early 20th-Century Theatre and Cinema Culture Through the Lens of Language Use and Socio-Economic Status
Noordegraaf,Julia van Erp,Marieke Zijdeman,Richard Raat,Mark van Oort,Thunnis Zandhuis,Ivo Vermaut,Thomas Mol,Hans van der Sijs,Nicoline Doreleijers,Kristel
Noordegraaf,Julia
van Erp,Marieke
Zijdeman,Richard
Raat,Mark
van Oort,Thunnis
Zandhuis,Ivo
Vermaut,Thomas
Mol,Hans
van der Sijs,Nicoline
Doreleijers,Kristel
Abstract
In this paper, we present our work on semantic deep mapping at scale by combining information from various sources and disciplines to study historical Amsterdam. We model our data according to semantic web standards and ground them in space and time such that we can investigate what happened at a particular time and place from a linguistics, socio-economic and urban historical perspective. In a small use case we test the spatio-temporal infrastructure for research on entertainment culture in Amsterdam around the turn of the 20th century. We explain the bottlenecks we encountered for integrating information from different disciplines and sources and how we resolved or worked around them. Finally, we present a set of recommendations and best practices for adapting semantic deep mapping to other settings.
Description
Funding Information: Acknowledgments. The research for this article, conducted in the context of the CLARIAH Amsterdam Time Machine project (2018–2019), was a collaboration between Fryske Akademy (Hans Mol, Mark Raat and Thomas Vermaut), KNAW Humanities Cluster (Gertjan Filarski, Marieke van Erp, Astrid Kulsdom), AdamNet (Henk Wals, Ivo Zandhuis), International Institute of Social History (Richard Zijde-man), Meertens Institute (Nicoline van der Sijs, Kristel Doreleijers, Brenda Assendelft) and University of Amsterdam (Julia Noordegraaf, Claartje Rasterhoff, Thunnis van Oort, Charlotte Vrielink and Vincent Baptist), and was financially supported by the NWO Roadmap for Large-scale Research Infrastructures project CLARIAH. Creating Linked Data for streets and districts and for cultural heritage collections in Amsterdam was done by the AdamNet Foundation in the AdamLink project, financed by the Pica Foundation (Stichting Pica). Publisher Copyright: © 2021, Springer Nature Switzerland AG.
Date
2021
Journal Title
Journal ISSN
Volume Title
Publisher
Springer
Research Projects
Organizational Units
Journal Issue
Keywords
Deep mapping, Digital humanities, Linguistics, Media studies, Semantic web, Social and economic history, Urban history
Citation
Noordegraaf, J, van Erp, M, Zijdeman, R, Raat, M, van Oort, T, Zandhuis, I, Vermaut, T, Mol, H, van der Sijs, N, Doreleijers, K, Baptist, V, Vrielink, C, Assendelft, B, Rasterhoff, C & Kisjes, I 2021, Semantic Deep Mapping in the Amsterdam Time Machine : Viewing Late 19th- and Early 20th-Century Theatre and Cinema Culture Through the Lens of Language Use and Socio-Economic Status. in F Niebling, S Münster & H Messemer (eds), Research and Education in Urban History in the Age of Digital Libraries - 2nd International Workshop, UHDL 2019, Revised Selected Papers. vol. 1501, Communications in Computer and Information Science, vol. 1501 CCIS, Springer, Cham, pp. 191-212. https://doi.org/10.1007/978-3-030-93186-5_9