Recent Developments for the Linguistic Linked Open Data Infrastructure
Thierry Declerck, John Philip McCrae, Matthias Hartung, Jorge Gracia, Christian Chiarcos, Elena Montiel-Ponsoda, Philipp Cimiano, Artem Revenko, Roser Saurí, Deirdre Lee, Stefania Racioppa, Jamal Abdul Nasir, Matthias Orlikowsk, Marta Lanau-Coronas, Christian Fäth, Mariano Rico, Mohammad Fazleh Elahi, Maria Khvalchik, Meritxell Gonzalez, Katharine Cooney
Abstract
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.- Anthology ID:
- 2020.lrec-1.695
- Volume:
- Proceedings of the Twelfth Language Resources and Evaluation Conference
- Month:
- May
- Year:
- 2020
- Address:
- Marseille, France
- Editors:
- Nicoletta Calzolari, Frédéric Béchet, Philippe Blache, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Hélène Mazo, Asuncion Moreno, Jan Odijk, Stelios Piperidis
- Venue:
- LREC
- SIG:
- Publisher:
- European Language Resources Association
- Note:
- Pages:
- 5660–5667
- Language:
- English
- URL:
- https://aclanthology.org/2020.lrec-1.695
- DOI:
- Bibkey:
- Cite (ACL):
- Thierry Declerck, John Philip McCrae, Matthias Hartung, Jorge Gracia, Christian Chiarcos, Elena Montiel-Ponsoda, Philipp Cimiano, Artem Revenko, Roser Saurí, Deirdre Lee, Stefania Racioppa, Jamal Abdul Nasir, Matthias Orlikowsk, Marta Lanau-Coronas, Christian Fäth, Mariano Rico, Mohammad Fazleh Elahi, Maria Khvalchik, Meritxell Gonzalez, et al.. 2020. Recent Developments for the Linguistic Linked Open Data Infrastructure. In Proceedings of the Twelfth Language Resources and Evaluation Conference, pages 5660–5667, Marseille, France. European Language Resources Association.
- Cite (Informal):
- Recent Developments for the Linguistic Linked Open Data Infrastructure (Declerck et al., LREC 2020)
- Copy Citation:
- PDF:
- https://aclanthology.org/2020.lrec-1.695.pdf
Export citation
@inproceedings{declerck-etal-2020-recent,
title = "Recent Developments for the Linguistic Linked Open Data Infrastructure",
author = {Declerck, Thierry and
McCrae, John Philip and
Hartung, Matthias and
Gracia, Jorge and
Chiarcos, Christian and
Montiel-Ponsoda, Elena and
Cimiano, Philipp and
Revenko, Artem and
Saur{\'\i}, Roser and
Lee, Deirdre and
Racioppa, Stefania and
Abdul Nasir, Jamal and
Orlikowsk, Matthias and
Lanau-Coronas, Marta and
F{\"a}th, Christian and
Rico, Mariano and
Elahi, Mohammad Fazleh and
Khvalchik, Maria and
Gonzalez, Meritxell and
Cooney, Katharine},
editor = "Calzolari, Nicoletta and
B{\'e}chet, Fr{\'e}d{\'e}ric and
Blache, Philippe and
Choukri, Khalid and
Cieri, Christopher and
Declerck, Thierry and
Goggi, Sara and
Isahara, Hitoshi and
Maegaard, Bente and
Mariani, Joseph and
Mazo, H{\'e}l{\`e}ne and
Moreno, Asuncion and
Odijk, Jan and
Piperidis, Stelios",
booktitle = "Proceedings of the Twelfth Language Resources and Evaluation Conference",
month = may,
year = "2020",
address = "Marseille, France",
publisher = "European Language Resources Association",
url = "https://aclanthology.org/2020.lrec-1.695",
pages = "5660--5667",
abstract = "In this paper we describe the contributions made by the European H2020 project {``}Pr{\^e}t-{\`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. Pr{\^e}t-{\`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.",
language = "English",
ISBN = "979-10-95546-34-4",
}
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%0 Conference Proceedings %T Recent Developments for the Linguistic Linked Open Data Infrastructure %A Declerck, Thierry %A McCrae, John Philip %A Hartung, Matthias %A Gracia, Jorge %A Chiarcos, Christian %A Montiel-Ponsoda, Elena %A Cimiano, Philipp %A Revenko, Artem %A Saurí, Roser %A Lee, Deirdre %A Racioppa, Stefania %A Abdul Nasir, Jamal %A Orlikowsk, Matthias %A Lanau-Coronas, Marta %A Fäth, Christian %A Rico, Mariano %A Elahi, Mohammad Fazleh %A Khvalchik, Maria %A Gonzalez, Meritxell %A Cooney, Katharine %Y Calzolari, Nicoletta %Y Béchet, Frédéric %Y Blache, Philippe %Y Choukri, Khalid %Y Cieri, Christopher %Y Declerck, Thierry %Y Goggi, Sara %Y Isahara, Hitoshi %Y Maegaard, Bente %Y Mariani, Joseph %Y Mazo, Hélène %Y Moreno, Asuncion %Y Odijk, Jan %Y Piperidis, Stelios %S Proceedings of the Twelfth Language Resources and Evaluation Conference %D 2020 %8 May %I European Language Resources Association %C Marseille, France %@ 979-10-95546-34-4 %G English %F declerck-etal-2020-recent %X 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. %U https://aclanthology.org/2020.lrec-1.695 %P 5660-5667
Markdown (Informal)
[Recent Developments for the Linguistic Linked Open Data Infrastructure](https://aclanthology.org/2020.lrec-1.695) (Declerck et al., LREC 2020)
- Recent Developments for the Linguistic Linked Open Data Infrastructure (Declerck et al., LREC 2020)
ACL
- Thierry Declerck, John Philip McCrae, Matthias Hartung, Jorge Gracia, Christian Chiarcos, Elena Montiel-Ponsoda, Philipp Cimiano, Artem Revenko, Roser Saurí, Deirdre Lee, Stefania Racioppa, Jamal Abdul Nasir, Matthias Orlikowsk, Marta Lanau-Coronas, Christian Fäth, Mariano Rico, Mohammad Fazleh Elahi, Maria Khvalchik, Meritxell Gonzalez, et al.. 2020. Recent Developments for the Linguistic Linked Open Data Infrastructure. In Proceedings of the Twelfth Language Resources and Evaluation Conference, pages 5660–5667, Marseille, France. European Language Resources Association.