entity

YAGO

Also known as: Yet Another Great Ontology

Facts (11)

Sources

Construction of Knowledge Graphs: State and Challenges - arXiv arxiv.org arXiv 11 facts

claimKnowledge graph solutions often use rule-based mappings to extract entities and relations from semi-structured sources, as seen in DBpedia, Yago, DRKG, VisualSem, and WorldKG.

measurementThe YAGO knowledge graph, established in 2007, contains 67 million entities and 2 billion facts, utilizing RDF(-Star) format.

referenceThe paper 'Yago: a core of semantic knowledge' by F.M. Suchanek, G. Kasneci, and G. Weikum, published in The Web Conference in 2007, introduces the YAGO knowledge base.

claimDBpedia and YAGO are the only knowledge graph construction solutions that perform an automatic consistency check.

claimDBpedia and Yago are limited to batch updates that require a full recomputation of the knowledge graph.

claimYAGO guarantees ontological consistency by applying a logical reasoner.

claimDBpedia, YAGO, and NELL integrate information from Wikipedia as a primary source for knowledge.

referenceThe Yet Another Great Ontology (YAGO) project initially constructed its knowledge graph by extracting information about Wikipedia entities and combining them with an ontology derived from WordNet.

claimYAGO maintains fact provenance by utilizing Wikidata’s annotations for validity time and external references.

referenceYAGO version 2 extended its knowledge graph by incorporating temporal information from Wikipedia edit timestamps and spatial knowledge from GeoNames.

claimYAGO, DBpedia, NELL, and Wikidata are examples of open knowledge graphs.