@inbook{3b18686eb93043969bb4bee3e7054625,
title = "A Knowledge Graph of Contentious Terminology for Inclusive Representation of Cultural Heritage",
abstract = "Cultural heritage collections available as linked open data (LOD) may contain harmful stereotypes about people and cultures, for example, in outdated textual descriptions of objects. Galleries, libraries, archives, and museums (GLAM) have suggested various approaches to tackle potentially problematic content in digital collections. However, the domain expertise and discussions about words and phrases used in LOD-collections are scattered across different resources and detached from the collections themselves. In this paper, we capture domain expertise about English and Dutch contentious heritage terminology in a knowledge graph. Contentious terms in the resulting graph are then linked to entities from other LOD-resources used in the cultural domain and beyond, including Wikidata and WordNet. We make our design decisions explicit and report on the linking process. The developed knowledge graph makes expert knowledge interoperable, so it can be reused by the cultural heritage community and other LOD-developers to contribute to a more inclusive representation of cultural heritage on the Web.",
keywords = "Contentious Terms, Cultural Heritage, Knowledge Graph, Linked Open Data",
author = "Andrei Nesterov and Laura Hollink and {van Erp}, Marieke and {van Ossenbruggen}, Jacco",
year = "2023",
doi = "10.1007/978-3-031-33455-9_30",
language = "English",
isbn = "9783031334542",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science+Business Media",
pages = "502--519",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
address = "Germany",
}