Since 2004 the European Commission’s Joint Research Centre (JRC) has been analysing the online version ofprinted media in over twenty languages and has automatically recognised and compiled large amounts of namedentities (persons and organisations) and their many name variants. The collected variants not only include standardspellings in various countries, languages and scripts, but also frequently found spelling mistakes or lesser usedname forms, all occurring in real-life text (e.g. Benjamin/Binyamin/Bibi/Benyamín/Biniamin/Беньямин/ بنیامین Netanyahu/Netanjahu/Nétanyahou/Netahnyahu/Нетаньяху/ نتنیاهو ). This entity name variant data, known as JRCNames,has been available for public download since 2011. In this article, we report on our efforts to renderJRC-Names as Linked Data (LD), using the lexicon model for ontologies lemon. Besides adhering to SemanticWeb standards, this new release goes beyond the initial one in that it includes titles found nextto the names, as well as date ranges when the titles and the name variants were found. It also establisheslinks towards existing datasets, such as DBpedia and Talk-Of-Europe. As multilingual linguistic linkeddataset, JRC-Names can help bridge the gap between structured data and natural languages, thus supportinglarge-scale data integration, e.g. cross-lingual mapping, and web-based content processing, e.g. entity linking.JRC-Names is publicly available through the dataset catalogue of the European Union’s Open Data Portal.
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