YAGO is one of the large knowledge bases in the Linked Open Data cloud. In this resource paper, we present its latest version, YAGO 4, which reconciles the rigorous typing and constraints of schema.org with the rich instance data of Wikidata. The resulting resource contains 2 billion type-consistent triples for 64 Million entities, and has a consistent ontology that allows semantic reasoning with OWL 2 description logics.
The curation of a knowledge base is a crucial but costly task. In this work, we propose to take advantage of the edit history of the knowledge base in order to learn how to correct constraint violations. Our method is based on rule mining, and uses the edits that solved some violations in the past to infer how to solve similar violations in the present. The experimental evaluation of our method on Wikidata shows significant improvements over baselines.
In this paper we present Platypus, a natural language question answering system on Wikidata. Our platform can answer complex queries in several languages, using hybrid grammatical and template based techniques. Our demo allows users either to select sample questions, or formulate their own-in any of the 3 languages that we currently support. A user can also try out our Twitter bot, which replies to any tweet that is sent to its account.
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