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

Research output: Chapter/Conference proceedingConference proceedingAcademicpeer-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 languageEnglish
Title of host publicationResearch and Education in Urban History in the Age of Digital Libraries
EditorsFlorian Niebling, Sander Münster, Heike Messemer
Pages191-212
Number of pages22
DOIs
Publication statusPublished - 2021

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