LIDER: Linked Data as an enabler of cross-media and multilingual content analytics for enterprises across Europe

LIDER: Linked Data as an enabler of cross-media and multilingual content analytics for enterprises across Europe

The aim of LIDER is to provide the basis for the creation of a Linguistic Linked Data cloud that can support content analytics tasks of unstructured multilingual cross-media content.

LIDER will create an ecosystem for the establishment of a new Linked Open Data (LOD) based ecosystem of free, interlinked, and semantically interoperable language resources (corpora, dictionaries, lexical and syntactic metadata, etc.) and media resources (image, video, etc. metadata). This will also allow free and open exploitation of such resources in multilingual, cross-media content analytics across the EU and beyond, with specific use cases in industries related to social media, financial services, localization, and other multimedia content providers and consumers.

LIDER will build upon existing standards, reference architectures, technologies, and data. Current language resource infrastructures (ELRA, META-SHARE, BabelNet) will have a special role and relevance in the project, thus ensuring the adoption of the project outcomes by these infrastructures.


  • Universidad Politécnica de Madrid (UPM), Ontology Engineering Group
  • Trinity College Dublin
  • Deutsches Forschungszentrum für künstliche Intelligenz GMBH (DFKI)
  • National University Of Ireland - Galway
  • Institut für Angewandte Informatik EV
  • University of Bielefeld
  • Universita degli Studi di Roma La Sapienza
  • World Wide Web Consortium - ERCIM

Publications about the project

Petya Osenova, Piroska Lendvai, Thierry Declerck,

In: Daniela Gîfu, Diana Trandabăţ. Linguistic Linked Open Data. Pages 3-17 ISBN 978-3-319-32941-3 Springer 4/2016.

To the publication
Eveline Wand-Vogt, Karlheinz Mörth, Thierry Declerck

In: Iztok Kosem, Jelena Kallas, Simon Krek, Milo¨ Jakubíček (editor). Proceedings of eLex 2015. Biennial Conference on Electronic Lexicography (eLex-2015) electronic lexicography in the 21st century: Linking lexical data in the digital age August 11-13 Herstmonceux United Kingdom ISBN 978-961-93594-3-3 Trojina, Institute for Applied Slovene Studies Ljubljana 8/2015.

To the publication

German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz