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 (Universiteit van Amsterdam)
Marieke Van Erp (Koninklijke Nederlandse Akademie van Wetenschappen (KNAW))
Richard Zijdeman (University of Stirling, International Institute of Social History)
Mark Raat (Fryske Akademy - KNAW)
Thunnis Van Oort (Radboud Universiteit Nijmegen)
Ivo Zandhuis (International Institute of Social History)
Thomas Vermaut (Koninklijke Nederlandse Akademie van Wetenschappen (KNAW))
Hans Mol (Fryske Akademy - KNAW)
Vincent Baptist ( Erasmus Universiteit Rotterdam)
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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.