MuseKG: A Knowledge Graph for Museum Collections

MuseKG, an innovative interactive knowledge graph system, has been created by researchers to consolidate diverse museum collection data into a single, searchable format. This system arranges structured catalog records, images, and unstructured descriptions into a typed graph that connects objects, individuals, organizations, images, image-derived labels, and semantic entities. By allowing natural-language queries, MuseKG aligns user inquiries with graph entities and retrieves a concise set of evidence for generating answers. A live demonstration utilizing actual museum collections illustrates that MuseKG facilitates common exploration tasks like attribute lookup and relation exploration. This initiative tackles the issue of fragmentation in digitized cultural heritage data, promoting relation-aware exploration across previously disconnected repositories.