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About brings information about languages, words, characters, and other human language-related entities to the Linked Data Web and Semantic Web. The Linked Data Web is a worldwide initiative to create a Web of Data that exposes the relationships between entities in our world. adds a new perspective to this Web by exposing how everything in our world is connected in terms of language, e.g. by considering semantic relationships between multilingual labels (like book or New York). Lexvo not only defines global IDs (URIs) for language-related objects, but also ensures that these identifiers are dereferenceable and highly interconnected as well as externally linked to a variety of resources on the Web. Some of the main features up to date:


2016-08   Also check out our new resource, which connects semantic knowledge with linguistic knowledge.

2015-12   New article about (Semantic Web Journal) (BibTeX reference)

2014-01   Update to Lexvo Ontology and data based on feedback from Osma Suominen

2013-04   New Identity Link proposal, based on our new AAAI 2013 paper

2012-09   Language code lookups (suggested by Sebastian Hellmann and Martin Brümmer)

2012-09   Showing language geo-coordinates from the AUTOTYP project

2012-03   New Version with lots of new data (plus bugfixes suggested by Christian Chiarcos)

2012-03   New simple ISO 639-1 identifiers of the form provided for convenience (suggested by David Robillard)

2012-02 links used by the Spanish National Library

2011-08 links used by the British Library in their British National Bibliography data

2011-07 links used by Sudoc, the French academic catalog (more information)

2011-05 links used by LOCAH Linked Archives Hub project

2011-02   Lexvo Ontology used in new DBpedia Spotlight text annotation service.

2011-01   Lexvo Ontology used in Vocabularies of a Friend (VOAF) project.

Older news


In academic works, please cite the following paper:

Gerard de Melo (2015). Language-Related Information for the Linguistic Linked Data Cloud. Semantic Web 6:4, 2015, p. 393-400. IOS Press.
Impact factor: 1.786 (2016)

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