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Other literature type . 2024
License: CC BY
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Presentation . 2024
License: CC BY
Data sources: Datacite
ZENODO
Presentation . 2024
License: CC BY
Data sources: Datacite
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eXtreme Design (XD) for Ontological Engineering in the Digital Humanities (DH) with Viewsari, a Knowledge Graph (KG) of Giorgio Vasari's The Lives

Authors: Ondraszek, Sarah Rebecca; Petri, Grischka; Blumenthal, Ulrike; Dieckmann, Lisa; Posthumus, Etienne; Sack, Harald;

eXtreme Design (XD) for Ontological Engineering in the Digital Humanities (DH) with Viewsari, a Knowledge Graph (KG) of Giorgio Vasari's The Lives

Abstract

Knowledge graphs (KGs) and ontologies have become valuable tools in the digital humanities (DH) for integrating interdisciplinary, diverse datasets and applying linked data and FAIR principles. In the form of a use case, this paper emphasizes the practical value of employing established best practices in ontological engineering, such as eXtreme Design (XD) and Ontology Design Patterns (ODPs), in the DH. As part of a broader project, it realizes the design and evaluation of a KG built upon Giorgio Vasari's seminal Renaissance text, Lives of the Most Excellent Painters, Sculptors, and Architects, a collection of artist biographies -- the Viewsari KG. This way, applying an ontology engineering methodology in a real-world DH project functions as a metaphor for guiding future projects in the domain, emphasizing the importance of thoughtful ontology design for representing DH content.

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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