Recent Developments for the Linguistic Linked Open Data Infrastructure

Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020), pages 5660–5667 Marseille, 11–16 May 2020 c⃝ European Language Resources Association (ELRA), licensed under CC-BY-NC 5660 Recent Developments for the Linguistic Linked Open Data Infrastructure Thierry Declerck1, John McCrae2, Matthias Hartung3, Jorge Gracia4, Christian Chiarcos5, Elena Montiel6, Philipp Cimiano7, Artem Revenko8, Roser Sauri9, Deirdre Lee10, Stefania Racioppa1, Jamal Nasir2, Matthias Orlikowski3, Marta Lanau-Coronas4, Christian F¨ath5, Mariano Rico6, Mohammad Fazleh Elahi7, Maria Khvalchik8, Meritxell Gonzalez9, Katharine Cooney10 1DFKI GmbH, Germany; 2National University of Ireland Galway, Ireland; 3Semalytix GmbH, Germany; 4 University of Zaragoza, Spain; 5Goethe University Frankfurt, Germany; 6Universidad Polit´ecnica de Madrid, Spain; 7Bielefeld University, Germany; 8Semantic Web Company, Austria; 9Oxford University Press, United Kingdom; 10Derilinx, Ireland 1{declerck, stefania.racioppa@dfki.de}@dfki.de; 2{john.mccrae,jamal.nasir}@insight-centre.org 3{hartung,matthias.orlikowski}@semalytix.com; 4{jogracia,mlanau}@unizar.es 5christian.chiarcos@web.de, faeth@em.uni-frankfurt.de; 6{emontiel,mariano.rico}@fi.upm.es 7cimiano@cit-ec.uni-bielefeld.de, melahi@techfak.uni-bielefeld.de 8{artem.revenko,maria.khvalchik}@semantic-web.com; 9{Roser.Sauri,Meritxell.Gonzalez}@oup.com 10{deirdre,katharine}@derilinx.com Abstract In this paper we describe the contributions made by the European H2020 project “Prˆet-`a-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. Prˆet-`a-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. Keywords: Linguistic Linked Open Data, Standards, Infrastructure 1. Introduction Language technologies increasingly rely on large amounts of data. Better access and usage of language resources will enable to provide multilingual solutions that support the further development of language technologies for the emerging Digital Single Market in Europe. However, lan- guage data is rarely ‘ready-to-use’ and language technol- ogy specialists spend over 80% of their time on cleaning, organizing and collecting language datasets. Reducing this effort promises huge cost savings for all sectors where lan- guage technologies are required. The Prˆet-`a-LLOD project1 aims at increasing 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 multilin- gual data (Cimiano et al., 2020). Prˆet-`a-LLOD is achieving this by creating a new methodology for building data value chains applicable to a wide range of sectors and applica- tions and based around language resources and language technologies that can be integrated by means of semantic technologies. The project develops tools for the discovery, transformation and linking of datasets which can be applied to both data and metadata in order to provide multi-portal access to heterogeneous data repositories. Another goal of Prˆet-`a-LLOD is to automatically anal- yse licenses in order to deduce how data may be law- 1https://www.pret-a-llod.eu/ fully used and sold by language resource providers. Fi- nally, the project provides tools to combine language ser- vices and resources into complex pipelines by use of se- mantic technologies. …

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