Mediating Art History Data Models for Native Linked Data Construction using ResearchSpace
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Date
2025
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
Key challenges in digital art history concern translating common domain data models to the ontological framework of CIDOC-CRM and the like. This paper reports on the practical and methodological application in a domain, i.e. ritual spaces in medieval Europe, that is predicated on a very specific local model, and on how to operationalize it using the ResearchSpace platform. We illustrate the key challenges with directly building linked data in this domain for integration with other knowledge graphs in the humanities, yet by translating the complexity of CIDOC-CRM to the nuances of the domain model at runtime. Along with templates and knowledge patterns--the semantic tools made available by ResearchSpace--we further extend the platform's core functions, working around their limitations, to integrate external sources like OpenStreetMap and Zotero, in the Mapping Sacred Spaces project. The resulting workflow supports the generation of interoperable Linked Data from the outset, offering reusable modeling patterns and methodological insights applicable to other projects working with structured art history data.
Description
CCS Concepts: Applied computing → Fine arts; Architecture (buildings); Information systems → Crowdsourcing; Resource Description Framework (RDF); Federated databases; Mediators and data integration
@inproceedings{10.2312:dh.20253276,
booktitle = {Digital Heritage},
editor = {Campana, Stefano and Ferdani, Daniele and Graf, Holger and Guidi, Gabriele and Hegarty, Zackary and Pescarin, Sofia and Remondino, Fabio},
title = {{Mediating Art History Data Models for Native Linked Data Construction using ResearchSpace}},
author = {Adamou, Alessandro and Voronova, Polina},
year = {2025},
publisher = {The Eurographics Association},
ISBN = {978-3-03868-277-6},
DOI = {10.2312/dh.20253276}
}