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Knowledge Representation and Discovery for Cultural Heritage Research Data with CTO and SHMARQL

Authors: Tietz, Tabea; Posthumus, Etienne; Söhn, Linnaea Charlotte; Steller, Jonatan Jalle; Bruns, Oleksandra; Waitelonis, Jörg; Schrade, Torsten; +1 Authors

Knowledge Representation and Discovery for Cultural Heritage Research Data with CTO and SHMARQL

Abstract

This talk was presented on November 02, 2025 at the 5th International Workshop on Scientific Knowledge: Representation, Discovery, and Assessment (Sci-K2025), co-located with ISWC 2025 in Nara, Japan. This paper presents an approach to representing, discovering, and exploring research (meta)data in the cultural heritage (CH) domain. One key component is the NFDI4Culture Ontology (CTO), a modular ontology for CH research data. Aligned with BFO and extending the mid-level ontology NFDIcore, CTO enables structured, interoperable metadata integration across diverse CH domains. Another key component is the the lightweight Linked Data platform SHMARQL, which supports querying and storytelling with RDF data, offering new possibilities for data discovery, reuse, and cross-domain integration. Both CTO and SHMARQL are integrated within NFDI4Culture, a consortium of the German NFDI programme for the national research data infrastructure that focuses on material and immaterial CH data. NFDI4Culture aims to make heterogeneous and decentralized research data findable and interoperable through the NFDI4Culture-KG and Portal. Designed with modularity and reuse in mind, both tools demonstrate great generalizablility and have been successfully applied beyond their original CH context.

Country
Germany
Keywords

info:eu-repo/classification/ddc/330, knowledge graph, ddc:330, Economics, rdm, cultural heritage, research knowledge graph

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
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