ArtFinder: A Faceted Browser for Cross-Cultural Art Discovery

Exploring art from a different culture without prior knowledge of the domain is difficult. Though traditionally experts are required to guide people through the unknown knowledge base, the use of linked data can help consumers to explore for themselves. In this paper, we use clustering methods to create a faceted hierarchy for the exploration and recommendation of Japanese artists to tourists visiting Japan. This opens up future work in the understanding of the links between artists from different cultures as well as in automatically categorising and browsing linked data.