MoMA dataset

This dataset contains multiple interrelated files used in the context of experiments involving semantic enrichment and spatial contextualization of modern art collections from the Museum of Modern Art (MoMA). It includes metadata on artworks, artist relationships, and spatial assignments (rooms/floors), as well as a structured knowledge graph.<b>ArtworksWithRandomRooms.csv</b><br>A subset of artworks from the MoMA collection enriched with randomly assigned exhibition rooms and floor-level information. Each row corresponds to an artwork with attributes including artist name, date, style, genre, classification, and synthetic spatial location (<code>floor</code>, <code>room</code>).<b>ArtworksWithRandomRooms_2.csv</b><br>An alternative version of the previous dataset with a different random room assignment, useful for comparing layout-sensitive recommendations or spatial distribution experiments.<b>Artworks4thFloor.csv</b><br>Contains artworks specifically located on the 4th floor of the museum. All artworks share the same spatial attributes (<code>floor</code> = "4th floor", <code>room</code> = 407), allowing evaluation of fixed-location or room-centric recommendation scenarios.<b>Artists.csv</b><br>Provides biographical metadata about artists referenced in the artworks datasets. Fields include artist name, nationality, gender, and life span (<code>BeginDate</code>, <code>EndDate</code>), enabling demographic or historical analysis.<b>artistRelations.csv</b><br>Encodes semantic relationships between artists (e.g., influence, collaboration) through directed links. Each row denotes a relation from one artist to another, supporting graph-based reasoning and network analysis.<b>momaGraph.graphml</b><br>A GraphML-formatted knowledge graph capturing entities such as artworks, artists, styles, genres, and their relationships. This graph serves as a semantic backbone for tasks like recommendation, enrichment, or path-based inference.<b>generated_ratings_with_item_info.csv</b><br>A synthetically-generated ground truth for 10,000 visitors, with explicit ratings in the range [1,5] for every artwork in ArtworksWithRandomRooms files.All files are provided under an open license to support reproducible research in cultural heritage AI, semantic web, and recommender systems.