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

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic › 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
Subtitle of host publication	UHDL 2019
Editors	F. Niebling, S. Münster, H. Messemer
Publisher	Springer Science
Pages	191-212
Number of pages	22
ISBN (Electronic)	978-3-030-93186-5
ISBN (Print)	9783030931858
DOIs	https://doi.org/10.1007/978-3-030-93186-5_9
Publication status	Published - 2021
Event	2nd International Conference on Research and Education in Urban History in the Age of Digital Libraries, UHDL 2019 - Deutsches Hygiene-Museum (DHMD), Dresden, Germany Duration: 10 Oct 2019 → 11 Oct 2019 http://www.urbanhistory4d.org/uhdl2019/

Publication series

Series	Communications in Computer and Information Science
Volume	1501
ISSN	1865-0929

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
Internet address	http://www.urbanhistory4d.org/uhdl2019/

Keywords

Deep mapping
Digital humanities
Linguistics
Media studies
Semantic web
Social and economic history
Urban history

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: UHDL 2019 (pp. 191-212). Springer Science. 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: UHDL 2019. editor / F. Niebling ; S. Münster ; H. Messemer. Springer Science, 2021. pp. 191-212 (Communications in Computer and Information Science, Vol. 1501).

@inproceedings{9d2264bf890b4636a354cb22e016ba13,

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.",

keywords = "Deep mapping, Digital humanities, Linguistics, Media studies, Semantic web, Social and economic history, Urban history",

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.; 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",

year = "2021",

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

language = "English",

isbn = "9783030931858",

series = "Communications in Computer and Information Science",

publisher = "Springer Science",

pages = "191--212",

editor = "F. Niebling and S. M{\"u}nster and H. Messemer",

booktitle = "Research and Education in Urban History in the Age of Digital Libraries",

address = "Germany",

url = "http://www.urbanhistory4d.org/uhdl2019/",

}

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: UHDL 2019. Springer Science, Communications in Computer and Information Science, vol. 1501, pp. 191-212, 2nd International Conference on Research and Education in Urban History in the Age of Digital Libraries, UHDL 2019, Dresden, Saxony, 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: UHDL 2019. ed. / F. Niebling; S. Münster; H. Messemer. Springer Science, 2021. p. 191-212 (Communications in Computer and Information Science, Vol. 1501).

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic › 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 - 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.

PY - 2021

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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.

KW - Deep mapping

KW - Digital humanities

KW - Linguistics

KW - Media studies

KW - Semantic web

KW - Social and economic history

KW - Urban history

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

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

M3 - Conference article in proceeding

SN - 9783030931858

T3 - Communications in Computer and Information Science

SP - 191

EP - 212

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

A2 - Niebling, F.

A2 - Münster, S.

A2 - Messemer, H.

PB - Springer Science

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: UHDL 2019. Springer Science. 2021. p. 191-212. (Communications in Computer and Information Science, Vol. 1501). doi: 10.1007/978-3-030-93186-5_9