Prêt-à-LLOD

welcome to Prêt-à-LLOD project website

Language technologies increasingly rely on large amounts of data and better access and usage of language resources will enable to provide multilingual solutions that would support the emerging Digital Single Market in Europe. However, data is rarely ‘ready-to-use’ and language technology specialists spend over 80% of their time on cleaning, organizing and collecting datasets. Reducing this effort promises huge cost savings for all sectors where language technologies are required. An essential part of the Extract-Transform-Load process involves linking datasets to existing schemas, yet few specialists take advantage of linked data technologies to perform this task.

In this project we aim to increase the uptake of language technologies by exploiting the combination of linked data and language technologies, that is Linguistic Linked Open Data (LLOD), to create ready-to-use multilingual data. Prêt-à-LLOD aims to achieve this by creating a new methodology for building data value chains applicable to a wide-range of sectors and applications and based around language resources and language technologies that can be integrated by means of semantic technologies, in particular the usage of Linguistic Linked Open Data (LLOD).

Latest News


TEI-OntoLex Workshop

In collaboration with the ELEXIS H2020 project, a two day workshop connecting the main developers of the OntoLex-Lemon model and the TEI Lex-0 model was held on the 4th and 5th of October in Sintra, Portugal after the eLex conference. In this meeting, discussions were held about the interaction of…

Deutsches Institut für Normung

Thierry Declerck (DFKI) from the Prêt-à-LLOD project attended the kick-off event of the „Deutsches Institut für Normung e.V. (DIN; German Institute for Standardization)“ to develop an AI standardization roadmap on the 16th October 2019 at the Federal Ministry for Economic Affairs and Energy. This event was attended by more than…

ELSE-IF, Karlsruhe

Read Artem Revenko’s post on the ELSE-IF Workshop at Semantics 2019 here.

Partners

  • NUI Galway
  • Universidad de Zaragoza
  • Politecnica
  • Universität Bielefeld
  • Goethe-Universität
  • Deutsches Forschungszentrum für Künstliche Intelligenz
  • Semalytix
  • Oxford University Press
  • Semantic Web Company
  • Derilinx