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

1 Citation (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

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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

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

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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 {Van der Sijs}, Nicoline and Kristel Doreleijers and Vincent Baptist and Charlotte Vrielink and Brenda Assendelft and Claartje Rasterhoff and Ivan Kisjes",

year = "2021",

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

language = "English",

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",

}

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 - Zijdeman, Richard

AU - Raat, Mark

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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

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

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A2 - Münster, Sander

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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

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