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Linguistic Linked Data cloud (LIDER)
03/03/2015
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:
- A strong community around the topic.
- Guidelines and best practices for building and exploiting of resources.
- A reference architecture for Linguistic LD.
- 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
Categorías:
Etiquetas:
Licencia:
- Se respeta la licencia original del recurso.
- Web 3.0 (vídeo en español)
- Web Semántica (vídeo en inglés)
- Introducing Linked Data And The Semantic Web
- Linked Open Data: The Essentials book
- Industrialized Linked Data
- Cómo reutilizar Open Linked Data
- Semantic Web Standards Wiki
- RDF Pro: Complete Semantic Web Tools Suite
- Could data save newspapers?
- Búsquedas facetadas