Linguistic Linked Data cloud (LIDER)

The project’s mission 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.

Expected outcomes:

1. A strong community around the topic.
2. Guidelines and best practices for building and exploiting of resources.
3. A reference architecture for Linguistic LD.
4. A long-term roadmap for the use of LD for multilingual and multimedia content analytics in enterprises

Project members

• OEG Ontology Engineering Group - OEG (UPM) - COORDINATOR
• Trinity College Dublin Trinity College Dublin
• DFKI Deutsches Forschungszentrum Fuer Kuenstliche Intelligenz GMBH - DFKI
• NUIG National University of Ireland, Galway - NUIG
• INFAI Institut für Angewandte Informatik EV - INFAI
• UNIBI University Of Bielefeld - UNIBI
• SAPIENZA Universita degli Studi di Roma La Sapienza
• ERCIM World Wide Web Consortium - ERCIM