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

Julia Noordegraaf; Marieke Van Erp; Richard Zijdeman; Mark Raat; Thunnis Van Oort; Ivo Zandhuis; Thomas Vermaut; Hans Mol; Nicoline Van der Sijs; Kristel Doreleijers; Vincent Baptist; Charlotte Vrielink; Brenda Assendelft; Claartje Rasterhoff; Ivan Kisjes

doi:10.1007/978-3-030-93186-5_9

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

Julia Noordegraaf, Marieke Van Erp, Richard Zijdeman, Mark Raat, Thunnis Van Oort, Ivo Zandhuis, Thomas Vermaut, Hans Mol, Nicoline Van der Sijs, Kristel Doreleijers, Vincent Baptist, Charlotte Vrielink, Brenda Assendelft, Claartje Rasterhoff, Ivan Kisjes

Department of History

Research output: Chapter/Conference proceeding › Conference proceeding › Academic › peer-review

5 Citations (Scopus)

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.

Original language	English
Title of host publication	Research and Education in Urban History in the Age of Digital Libraries
Editors	Florian Niebling, Sander Münster, Heike Messemer
Pages	191-212
Number of pages	22
DOIs	https://doi.org/10.1007/978-3-030-93186-5_9
Publication status	Published - 2021

Bibliographical note

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.

Research programs

ESHCC HIS

Access to Document

10.1007/978-3-030-93186-5_9

Cite this

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 (pp. 191-212) https://doi.org/10.1007/978-3-030-93186-5_9

Noordegraaf, Julia ; Van Erp, Marieke ; Zijdeman, Richard et al. / 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. Research and Education in Urban History in the Age of Digital Libraries. editor / Florian Niebling ; Sander Münster ; Heike Messemer. 2021. pp. 191-212

@inproceedings{c85319052fc747c5bc55768c7310973e,

title = "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",

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.",

author = "Julia Noordegraaf and {Van Erp}, Marieke and Richard Zijdeman and Mark Raat and {Van Oort}, Thunnis and Ivo Zandhuis and Thomas Vermaut and Hans Mol and {Van der Sijs}, Nicoline and Kristel Doreleijers and Vincent Baptist and Charlotte Vrielink and Brenda Assendelft and Claartje Rasterhoff and Ivan Kisjes",

note = "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: {\textcopyright} 2021, Springer Nature Switzerland AG.",

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doi = "10.1007/978-3-030-93186-5_9",

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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. pp. 191-212. https://doi.org/10.1007/978-3-030-93186-5_9

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 et al.
Research and Education in Urban History in the Age of Digital Libraries. ed. / Florian Niebling; Sander Münster; Heike Messemer. 2021. p. 191-212.

Research output: Chapter/Conference proceeding › Conference proceeding › Academic › peer-review

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AU - Noordegraaf, Julia

AU - Van Erp, Marieke

AU - Zijdeman, Richard

AU - Raat, Mark

AU - Van Oort, Thunnis

AU - Zandhuis, Ivo

AU - Vermaut, Thomas

AU - Mol, Hans

AU - Van der Sijs, Nicoline

AU - Doreleijers, Kristel

AU - Baptist, Vincent

AU - Vrielink, Charlotte

AU - Assendelft, Brenda

AU - Rasterhoff, Claartje

AU - Kisjes, Ivan

N1 - 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.

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N2 - 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.

AB - 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.

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DO - 10.1007/978-3-030-93186-5_9

M3 - Conference proceeding

SN - 9783030931858

SP - 191

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BT - Research and Education in Urban History in the Age of Digital Libraries

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ER -

Noordegraaf J, Van Erp M, Zijdeman R, Raat M, Van Oort T, Zandhuis I et al. 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 Niebling F, Münster S, Messemer H, editors, Research and Education in Urban History in the Age of Digital Libraries. 2021. p. 191-212 doi: 10.1007/978-3-030-93186-5_9

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

Abstract

Bibliographical note

Research programs

Access to Document

Other files and links

Fingerprint

A Digital Toolkit to Detect Cinema Audiences of the Silent Era: Scalable Perspectives on Film Exhibition and Consumption in Amsterdam Neighbourhoods (1907-1928)

CLARIAH Amsterdam Time Machine Project: Entertainment Culture in Amsterdam from the 19th to the 20th Century (Panel Presentation)

CLARIAH Amsterdam Time Machine Project: Use Case Media Studies - Amsterdam Cinema Audiences

Cite this

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

Abstract

Bibliographical note

Research programs

Access to Document

Other files and links

Fingerprint

Research output

A Digital Toolkit to Detect Cinema Audiences of the Silent Era: Scalable Perspectives on Film Exhibition and Consumption in Amsterdam Neighbourhoods (1907-1928)

Activities

CLARIAH Amsterdam Time Machine Project: Entertainment Culture in Amsterdam from the 19th to the 20th Century (Panel Presentation)

CLARIAH Amsterdam Time Machine Project: Use Case Media Studies - Amsterdam Cinema Audiences

Cite this