Conference paper Open Access

Recent Developments for the Linguistic Linked Open Data Infrastructure

Declerck, Thierry; McCrae, John; Hartung, Matthias; Gracia, Jorge; Chiarcos, Christian; Montiel, Elena; Cimiano, Philipp; Revenko, Artem; Sauri, Roser; Lee, Deirdre; Racioppa, Stefania; Nasir, Jamal; Orlikowski, Matthias; Lanau-Coronas, Marta; Fäth, Christian; Rico, Mariano; Elahi, Mohammad Fazleh; Khvalchik, Maria; Gonzalez, Meritxell; Cooney, Katharine

In this paper we describe the contributions made by the European H2020 project “Prêt-à-LLOD” (‘Ready-to-use Multilingual Linked
Language Data for Knowledge Services across Sectors’) to the further development of the Linguistic Linked Open Data (LLOD)
infrastructure. Prêt-à-LLOD aims to develop 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. We describe the methods implemented for increasing the number of language data sets in the LLOD. We also present the approach for ensuring interoperability and for porting LLOD data sets and services to other infrastructures, as well as the contribution of the projects to existing standards.

This paper ist partially based upon work from COST Action CA18209 - NexusLinguarum "European Network for Web-centred Linguistic Data Science", supported by COST (European Cooperation in Science and Technology).
Files (550.8 kB)
Name Size
1322_Paper.pdf
md5:2e07d1984e397404d7b55d7cc45baa7c
550.8 kB Download
51
43
views
downloads
All versions This version
Views 5151
Downloads 4343
Data volume 23.7 MB23.7 MB
Unique views 4444
Unique downloads 3838

Share

Cite as