Standards and best practices for the Multilingual Web

The LIDER Project

The project LIDER is coordinated by Prof. Dr. Asunción Gómez Pérez from Universidad Politécnica de Madrid (UPM). The MultilingualWeb community led by the World Wide Web Consortium (W3C) serves as the umbrella for LIDER public activities.

LIDER started in November 2013 and will last until October 2015. It involves both people who have been active in the previous MultilingualWeb projects (the thematic network and MultilinualWeb-LT), as well as stakeholders from new areas: linked data and language technology.

With prominent and more and more widely used data sets like DBpedia in the centre, linked data is becoming a core resource for language technology applications. LIDER will build a pathway for the establishment of a new linked data-based ecosystem of free, interlinked, and semantically interoperable resources.

The LIDER consortium consists of the leading research institutions in this area. They use the MultilingualWeb community as the umbrella of dissemination and outreach activities, and run a dedicated W3C community group Linked Data for Language Technology (LD4LT). The focus language technology application area is content analytics tasks of unstructured multilingual cross-media content.

Project Activities

LIDER has four goals: it will

  1. build a strong community around the topic of linked data and language technology, with a focus on linked data-based multimedia and multilingual content analytics.
  2. create a set of guidelines and best practices for the construction and exploitation of LOD-based resources in multimedia and multilingual content analytics as well as for the development of NLP services on top of Linguistic Linked Data.
  3. provide a Linked Data reference architecture built on top of existing and future platforms and freely available resources.
  4. provide a long-term roadmap for the use of Linked Data for multilingual and multimedia content analytics in enterprises.

To achieve these goals, dissemination and community building is cruical. LIDER will run two MultilingualWeb workshops to engage a broad range of industry stakeholders. LIDER will also be active in many other relevant fora, like the European Data Forum or the LREC conferences. LIDER partners will run linked data tutorials and roadmapping workshops for selected audiences interested in the area of linked data and language technology. The outcome of the roadmapping activities will also influence upcoming research opportunities provided e.g. as part of the Horizon 2020 research program.

How to participate

LIDER aims at re-using existing communities as much as possible.

  • Check out the MultilingualWeb site and its twitter feed to learn about the LIDER activities. News related to LIDER have the hashtag #lider-project
  • Participate in the Linked Data for Language Technology community group. Here current and potential users of linked data will assemble use cases and requirements for linguistic applications of linked data. The results will guide future interoperability, research and development activities.
  • To provide anonymous feedback or to be kept informed about new developments and events, subscribe to the mailing list For dissemination purposes, this list will also include all Linked Data for Language Technology community group participants. Subscribe to the list via this link:
  • Discuss LIDER related topics in existing community groups: participate in the OntoLex community group to discuss models for the representation of lexica (and machine readable dictionaries) relative to ontologies, or in the BPMLOD community group to discuss best practices for multilingual linked open data.

Useful links

Project web site

See the LIDER project site at


Papers and presentations related to the project

See the list of papers on the LIDER project site.

Partners & People

For further information on the project partners see also the list of partners on the LIDER project web site.

Organisation Contacts Areas of expertise
Universidad Politécnica de Madrid (coordinator) Asunción Gómez-Pérez, Guadalupe Aguado de Cea, Elena Montiel-Ponsoda, Jorge Gracia, Víctor Rodríguez-Doncel, Daniel Vila Suero, Mariano Rico, Ana Ibarrola Linked Data, Multilingualism, Methodologies, Ontologies, Mappings Spain
Trinity College Dublin David Lewis, Dominic Jones, Declan O'Sullivan Localisation Interoperability and standards, language services process flows and provenance, semantic interoperabilty, multilingual linked data mapping Ireland
DFKI Hans Uszkoreit, Felix Sasaki, Arle Lommel, Thierry Declerck Language Technologies, e.g. Information Extraction, Machine Translation, Question Answering, ... Germany
National University of Ireland, Galway - NUIG Paul Buitelar, Georgeta Bordea, Mihael Arcan, Maria Smyth NLP, Language Resources, Machine Translation, Ontology & Linked Data Localisation Ireland
Institut für Angewandte Informatik EV - INFAI Sören Auer, Jens Lehmann, Sebastian Hellmann, Klaus-Peter Fähnrich, Nadine Jänicke Semantic Web technologies: Linked data, graph databases and SPARQL, Knowledge extraction, interlinking and curation) Germany
University Of Bielefeld - UNIBI Philipp Cimiano, John McCrae, Christina Unger, Matthias Hartung Ontology lexicalization and localization, NLP & Linked Data, Linguistic Linked Data, text and content mining Germany
Universita degli Studi di Roma La Sapienza Roberto Navigli, Paola Velardi, Maud Ehrmann, Andrea Moro Multilingual Lexical Knowledge Resource Acquisition, Multilingual Word Sense Disambiguation and Entity Linking, Lexicalized Taxonomy and Ontology Learning, Open Information Extraction Italy
World Wide Web Consortium - ERCIM Ivan Herman, Felix Sasaki, Richard Ishida Web technology standardization, including Semantic Web, metadata for localisation, basic technologies like HTML; community building around business / use cases and technologies France