Representing and Searching Associations in Cultural Heritage Knowledge Graphs Using Faceted Search

This paper presents how relations or associations between entities, such as persons and places in cultural heritage knowledge graphs, can be searched and analyzed using faceted search and visualizations. Faceted search using well-formed ontologies allows search and comparison of relative numbers in associations of groups of entities, such as artists from different countries, and can reveal patterns of interest in the data. This papers presents examples of how this can be done in practice, how the associations can be conceptualized in different ways that affect the performance of the search, and how the associations can be analyzed. The concept of faceted relational search is examined through case studies including searching relations in collections of biographies from various European countries, relations in the Union List of Artist Names (ULAN) thesaurus, and relations formed by links between Wikipedia pages of persons.