BabelNet is a multilingual lexical-semantic knowledge graph, ontology and encyclopedic dictionary developed at the NLP group of the Sapienza University of Rome under the supervision of Roberto Navigli.

The result is an encyclopedic dictionary that provides concepts and named entities lexicalized in many languages and connected with large amounts of semantic relations.

Additional lexicalizations and definitions are added by linking to free-license wordnets, OmegaWiki, the English Wiktionary, Wikidata, FrameNet, VerbNet and others.

[1] Version 5.3 also associates around 61 million images with Babel synsets and provides a Lemon RDF encoding of the resource,[3] available via a SPARQL endpoint.

[9] BabelNet featured prominently in a Time magazine article[10] about the new age of innovative and up-to-date lexical knowledge resources available on the Web.