At first glance, UBY and BabelNet seem to be identical and competitive projects however, the two resources follow different philosophies. For each Babel synset, BabelNet provides short definitions (called glosses) in many languages harvested from both WordNet and Wikipedia.īabelNet is an automatically lexical semantic resource that links Wikipedia to the most popular computational lexicons such as WordNet. Similarly to WordNet, BabelNet groups words in different languages into sets of synonyms, called 'Babel synsets'.

Additional lexicalizations and definitions are added by linking to free-license wordnets, OmegaWiki, the English Wiktionary, Wikidata, FrameNet, VerbNet and others. That provides concepts and named entities lexicalized in many languages and connected with large amounts of semantic relations. 2.67 million synsets are assigned domain labels. Version 3.7 also associates about 11 million images with Babel synsets and provides a Lemon RDF encoding of the resource, available via a SPARQL endpoint. The semantic network includes all the lexico-semantic relations from WordNet (hypernymy and hyponymy, meronymy and holonymy, antonymy and synonymy, etc., totaling around 364,000 relation edges) as well as an underspecified relatedness relation from Wikipedia (totaling around 380 million relation edges). Each Babel synset contains 2 synonyms per language, i.e., word senses, on average. BabelNet 3.7 contains almost 14 million synsets and about 746 million word senses (regardless of their language).

, BabelNet (version 3.7) covers 271 languages, including all European languages, most Asian languages, and Latin. The article describes in some detail how BabelNet is playing a leading role in the 21st century scenario. The lexicalized knowledge available in BabelNet has been shown to obtain state-of-the-art results in:īabelNet featured prominently in a TIME magazine's article about the new age of innovative and up-to-date lexical knowledge resources available on the Web. The result is an 'encyclopedic dictionary'īabelNet has been shown to enable multilingual Natural Language Processing applications. The integration is performed by means of an automatic mapping and by filling in lexical gaps in resource-poor languages with the aid of statistical machine translation. BabelNet was automatically created by linking Wikipedia, to the most popular computational lexicon of the English language, WordNet. BabelNet received the META prize 2015 for 'groundbreaking work in overcoming language barriers through a multilingual lexicalised semantic network and ontology making use of heterogeneous data sources'.īabelNet is a multilingual lexicalized semantic network and ontology developed at the Linguistic Computing Laboratory in the Department of Computer Science of the Sapienza University of Rome.

Babelnet vs framenet