TRANSRAZ Data Model: Towards a Geosocial Representation of Historical Cities

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Date

Volume

56

Issue

Journal

Series Titel

Studies on the Semantic Web ; 56

Book Title

Knowledge Graphs: Semantics, Machine Learning, and Languages

Publisher

Berlin : AKA

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Abstract

Preserving historical city architectures and making them (publicly) available has emerged as an important field of the cultural heritage and digital humanities research domain. In this context, the TRANSRAZ project is creating an interactive 3D environment of the historical city of Nuremberg which spans over different periods of time. Next to the exploration of the city’s historical architecture, TRANSRAZ is also integrating information about its inhabitants, organizations, and important events, which are extracted from historical documents semi-automatically. Knowledge Graphs have proven useful and valuable to integrate and enrich these heterogeneous data. However, this task also comes with versatile data modeling challenges. This paper contributes the TRANSRAZ data model, which integrates agents, architectural objects, events, and historical documents into the 3D research environment by means of ontologies. Goal is to explore Nuremberg’s multifaceted past in different time layers in the context of its architectural, social, economical, and cultural developments.

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License

CC BY-NC 4.0 Unported