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; Vincent Baptist; null More Authors

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, Vincent Baptist, More Authors

^*Corresponding author for this work

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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 - 2nd International Workshop, UHDL 2019, Revised Selected Papers
Editors	Florian Niebling, Sander Münster, Heike Messemer
Place of Publication	Cham
Publisher	Springer
Pages	191-212
Number of pages	22
ISBN (Electronic)	978-3-030-93186-5
ISBN (Print)	978-3-030-93185-8
DOIs	https://doi.org/10.1007/978-3-030-93186-5_9
Publication status	Published - 2021
Externally published	Yes
Event	2nd International Conference on Research and Education in Urban History in the Age of Digital Libraries, UHDL 2019 - Dresden, Germany Duration: 10 Oct 2019 → 11 Oct 2019

Conference

Conference	2nd International Conference on Research and Education in Urban History in the Age of Digital Libraries, UHDL 2019
Country/Territory	Germany
City	Dresden
Period	10/10/19 → 11/10/19

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., Baptist, V., & More Authors (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 (pp. 191-212). Springer. 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 - 2nd International Workshop, UHDL 2019, Revised Selected Papers. editor / Florian Niebling ; Sander Münster ; Heike Messemer. Cham : Springer, 2021. pp. 191-212

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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 Vincent Baptist and {More Authors}",

year = "2021",

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

language = "English",

isbn = "978-3-030-93185-8",

pages = "191--212",

editor = "Florian Niebling and Sander M{\"u}nster and Heike Messemer",

booktitle = "Research and Education in Urban History in the Age of Digital Libraries - 2nd International Workshop, UHDL 2019, Revised Selected Papers",

publisher = "Springer",

address = "United States",

note = "2nd International Conference on Research and Education in Urban History in the Age of Digital Libraries, UHDL 2019 ; Conference date: 10-10-2019 Through 11-10-2019",

}

Noordegraaf, J, Van Erp, M, Zijdeman, R, Raat, M, Van Oort, T, Zandhuis, I, Vermaut, T, Mol, H, Baptist, V & More Authors 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. Springer, Cham, pp. 191-212, 2nd International Conference on Research and Education in Urban History in the Age of Digital Libraries, UHDL 2019, Dresden, Germany, 10/10/19. 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 - 2nd International Workshop, UHDL 2019, Revised Selected Papers. ed. / Florian Niebling; Sander Münster; Heike Messemer. Cham: Springer, 2021. p. 191-212.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Semantic Deep Mapping in the Amsterdam Time Machine

T2 - 2nd International Conference on Research and Education in Urban History in the Age of Digital Libraries, UHDL 2019

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 - Baptist, Vincent

AU - More Authors, null

PY - 2021

Y1 - 2021

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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U2 - 10.1007/978-3-030-93186-5_9

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

M3 - Conference contribution

SN - 978-3-030-93185-8

SP - 191

EP - 212

BT - Research and Education in Urban History in the Age of Digital Libraries - 2nd International Workshop, UHDL 2019, Revised Selected Papers

A2 - Niebling, Florian

A2 - Münster, Sander

A2 - Messemer, Heike

PB - Springer

CY - Cham

Y2 - 10 October 2019 through 11 October 2019

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 - 2nd International Workshop, UHDL 2019, Revised Selected Papers. Cham: Springer. 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

Conference

Access to Document

Other files and links

A digital toolkit to detect cinema audiences of the silent era: Scalable perspectives on film exhibition and consumption in Amsterdam neighbourhoods (1907-1928)

Deep Maps and Time Machines: Exciting Times for Collaborative Research on Port Cities

Amsterdam Cinema Audiences: Local Practices of Film Exhibition and Consumption in Amsterdam Neighborhoods During the Early 20th Century

Amsterdam Cinema Audiences: A Geospatial Analysis of Film Exhibition and Consumption in Early 20th-Century Amsterdam

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

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

Conference

Access to Document

Other files and links

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)

Deep Maps and Time Machines: Exciting Times for Collaborative Research on Port Cities

Activities

Amsterdam Cinema Audiences: Local Practices of Film Exhibition and Consumption in Amsterdam Neighborhoods During the Early 20th Century

Amsterdam Cinema Audiences: A Geospatial Analysis of Film Exhibition and Consumption in Early 20th-Century Amsterdam

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

Cite this