Serendipity Movie Test Data

Serendipity Movie Test Data The serendipity relatedness problem consists of, given an entity, to find another entity that is serendipitously related to it. The strategy adopted consists of diving the dataset in partitions based in a global feature, genre, and linking entities from different partitions according to connectivity criteria. This dataset supports the evaluation of approaches that address the serendipity relatedness problem. It covers the movie domain and uses data available in DBpedia and LinkedMDB, which are popular reference linked data datasets for this domain. The dataset contains 404 entities of the movies domain split in 15 cinematographic genres. For every entity, the dataset contains: (1) its linked data URIs; (2) its linked data datagraph, encompassing the network of entities that surrounds it; (3) a list of serendipitously suggested movies. And for every entity pair, the dataset contains: (1) the linked data paths that connect the pair; (2) a score according to the extracted paths. The data is compressed in .zip format and can be uncompressed by standard compression utilities. The data are split into two archives: dataset.zip: contains raw data (.json, .ttl). The underlying data and code can be accessed through standard text edit software.