6 datasets found

The dataset used in the paper is the AIFB dataset, which contains a set of entities and their relationships.

The dataset consists of 119 clusters, with a total of 584 questions, which include 4 different linguistic forms per query, so we have approximately 146 semantically different...

The dataset used in the paper is Wikidata, which contains a large number of entities and their corresponding semantic types.

DBpedia is a public knowledge graph which is derived from structured information in Wikipedia, mainly infoboxes.

Knowledge graphs (KGs) are collections of facts. Some well-known knowledge graphs include Freebase (Bollacker et al., 2008), Word-Net (Miller, 1995), YAGO (Suchanek et al.,...

The dataset used in the paper for entity alignment, consisting of eight knowledge graphs with various languages.