The Persistence of Temporality: Representation of Time in Cultural Heritage Knowledge Graphs

Modeling temporal information in cultural heritage knowledge graphs is essential to understand history,
society and the world. However, due to the binary nature of RDF predicates, representing time in RDF is
a challenge. This work addresses the challenge and explores various approaches for integrating time
into knowledge graphs. In particular, the work aims at answering key research questions, such as best
practices for temporal representation in RDF, crucial requirements in the cultural heritage context, and
evaluating RDF extensions for modeling time. Additionally, it is investigated how RDF can reason over
temporal relationships and how the new insights can be used to develop a lightweight and intuitive
approach for modeling time in RDF based on domain requirements. Fundamentally, the research argues
for embracing the persistence of temporality in KGs, as it is crucial for understanding our changing
heritage, recognising the influence of the past on the present, and shaping a knowledgeable future.