From Linguistic Linked Data to Big Data

Dimitar Trajanov; Elena Simona Apostol; Radovan Garabík; Katerina Gkirtzou; Dagmar Gromann; Chaya Liebeskind; Cosimo Palma; Michael Rosner; Alexia Sampri; Gilles Sérasset; Blerina Spahiu; Ciprian Octavian Truică; Giedre Valunaite Oleskeviciene

From Linguistic Linked Data to Big Data

Dimitar Trajanov, Elena Simona Apostol, Radovan Garabík, Katerina Gkirtzou, Dagmar Gromann, Chaya Liebeskind, Cosimo Palma, Michael Rosner, Alexia Sampri, Gilles Sérasset, Blerina Spahiu, Ciprian Octavian Truică, Giedre Valunaite Oleskeviciene

Institut für Translationswissenschaft

Veröffentlichungen: Beitrag in Buch › Beitrag in Konferenzband › Peer Reviewed

Abstract

With advances in the field of Linked (Open) Data (LOD), language data on the LOD cloud has grown in number, size, and variety. With an increased volume and variety of language data, optimizations of methods for distributing, storing, and querying these data become more central. To this end, this position paper investigates use cases at the intersection of LLOD and Big Data, existing approaches to utilizing Big Data techniques within the context of linked data, and discusses the challenges and benefits of this union.

Originalsprache	Englisch
Titel	2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC-COLING 2024 - Main Conference Proceedings
Redakteure*innen	Nicoletta Calzolari, Min-Yen Kan, Veronique Hoste, Alessandro Lenci, Sakriani Sakti, Nianwen Xue
Erscheinungsort	Torino
Herausgeber (Verlag)	European Language Resources Association (ELRA)
Seiten	7489-7502
Seitenumfang	14
ISBN (elektronisch)	9782493814104
Publikationsstatus	Veröffentlicht - 2024
Veranstaltung	Joint 30th International Conference on Computational Linguistics and 14th International Conference on Language Resources and Evaluation, LREC-COLING 2024 - Hybrid, Torino, Italien Dauer: 20 Mai 2024 → 25 Mai 2024

Konferenz

Konferenz	Joint 30th International Conference on Computational Linguistics and 14th International Conference on Language Resources and Evaluation, LREC-COLING 2024
Land/Gebiet	Italien
Ort	Hybrid, Torino
Zeitraum	20/05/24 → 25/05/24

ÖFOS 2012

102028 Knowledge Engineering
602011 Computerlinguistik
602049 Terminologielehre

Andere Dateien und Links

Verknüpfung zur Publikation in Scopus

Zitationsweisen

Trajanov, D., Apostol, E. S., Garabík, R., Gkirtzou, K., Gromann, D., Liebeskind, C., Palma, C., Rosner, M., Sampri, A., Sérasset, G., Spahiu, B., Truică, C. O., & Oleskeviciene, G. V. (2024). From Linguistic Linked Data to Big Data. in N. Calzolari, M.-Y. Kan, V. Hoste, A. Lenci, S. Sakti, & N. Xue (Hrsg.), 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC-COLING 2024 - Main Conference Proceedings (S. 7489-7502). European Language Resources Association (ELRA).

Trajanov, Dimitar ; Apostol, Elena Simona ; Garabík, Radovan et al. / From Linguistic Linked Data to Big Data. 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC-COLING 2024 - Main Conference Proceedings. Hrsg. / Nicoletta Calzolari ; Min-Yen Kan ; Veronique Hoste ; Alessandro Lenci ; Sakriani Sakti ; Nianwen Xue. Torino : European Language Resources Association (ELRA), 2024. S. 7489-7502

@inproceedings{6845c29cc2fc479289e01bbf5483c073,

title = "From Linguistic Linked Data to Big Data",

abstract = "With advances in the field of Linked (Open) Data (LOD), language data on the LOD cloud has grown in number, size, and variety. With an increased volume and variety of language data, optimizations of methods for distributing, storing, and querying these data become more central. To this end, this position paper investigates use cases at the intersection of LLOD and Big Data, existing approaches to utilizing Big Data techniques within the context of linked data, and discusses the challenges and benefits of this union.",

keywords = "Big Data, efficient processing, Linguistic Data Science, Linguistic Linked Open Data (LLOD)",

author = "Dimitar Trajanov and Apostol, {Elena Simona} and Radovan Garab{\'i}k and Katerina Gkirtzou and Dagmar Gromann and Chaya Liebeskind and Cosimo Palma and Michael Rosner and Alexia Sampri and Gilles S{\'e}rasset and Blerina Spahiu and Truic{\u a}, {Ciprian Octavian} and Oleskeviciene, {Giedre Valunaite}",

note = "Publisher Copyright: {\textcopyright} 2024 ELRA Language Resource Association: CC BY-NC 4.0.; Joint 30th International Conference on Computational Linguistics and 14th International Conference on Language Resources and Evaluation, LREC-COLING 2024 ; Conference date: 20-05-2024 Through 25-05-2024",

year = "2024",

language = "English",

pages = "7489--7502",

editor = "Nicoletta Calzolari and Min-Yen Kan and Veronique Hoste and Alessandro Lenci and Sakriani Sakti and Nianwen Xue",

booktitle = "2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC-COLING 2024 - Main Conference Proceedings",

publisher = "European Language Resources Association (ELRA)",

}

Trajanov, D, Apostol, ES, Garabík, R, Gkirtzou, K, Gromann, D, Liebeskind, C, Palma, C, Rosner, M, Sampri, A, Sérasset, G, Spahiu, B, Truică, CO & Oleskeviciene, GV 2024, From Linguistic Linked Data to Big Data. in N Calzolari, M-Y Kan, V Hoste, A Lenci, S Sakti & N Xue (Hrsg.), 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC-COLING 2024 - Main Conference Proceedings. European Language Resources Association (ELRA), Torino, S. 7489-7502, Joint 30th International Conference on Computational Linguistics and 14th International Conference on Language Resources and Evaluation, LREC-COLING 2024, Hybrid, Torino, Italien, 20/05/24.

From Linguistic Linked Data to Big Data. / Trajanov, Dimitar; Apostol, Elena Simona; Garabík, Radovan et al.
2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC-COLING 2024 - Main Conference Proceedings. Hrsg. / Nicoletta Calzolari; Min-Yen Kan; Veronique Hoste; Alessandro Lenci; Sakriani Sakti; Nianwen Xue. Torino: European Language Resources Association (ELRA), 2024. S. 7489-7502.

Veröffentlichungen: Beitrag in Buch › Beitrag in Konferenzband › Peer Reviewed

TY - GEN

T1 - From Linguistic Linked Data to Big Data

AU - Trajanov, Dimitar

AU - Apostol, Elena Simona

AU - Garabík, Radovan

AU - Gkirtzou, Katerina

AU - Gromann, Dagmar

AU - Liebeskind, Chaya

AU - Palma, Cosimo

AU - Rosner, Michael

AU - Sampri, Alexia

AU - Sérasset, Gilles

AU - Spahiu, Blerina

AU - Truică, Ciprian Octavian

AU - Oleskeviciene, Giedre Valunaite

PY - 2024

Y1 - 2024

N2 - With advances in the field of Linked (Open) Data (LOD), language data on the LOD cloud has grown in number, size, and variety. With an increased volume and variety of language data, optimizations of methods for distributing, storing, and querying these data become more central. To this end, this position paper investigates use cases at the intersection of LLOD and Big Data, existing approaches to utilizing Big Data techniques within the context of linked data, and discusses the challenges and benefits of this union.

AB - With advances in the field of Linked (Open) Data (LOD), language data on the LOD cloud has grown in number, size, and variety. With an increased volume and variety of language data, optimizations of methods for distributing, storing, and querying these data become more central. To this end, this position paper investigates use cases at the intersection of LLOD and Big Data, existing approaches to utilizing Big Data techniques within the context of linked data, and discusses the challenges and benefits of this union.

KW - Big Data

KW - efficient processing

KW - Linguistic Data Science

KW - Linguistic Linked Open Data (LLOD)

UR - http://www.scopus.com/inward/record.url?scp=85195979809&partnerID=8YFLogxK

M3 - Contribution to proceedings

AN - SCOPUS:85195979809

SP - 7489

EP - 7502

BT - 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC-COLING 2024 - Main Conference Proceedings

A2 - Calzolari, Nicoletta

A2 - Kan, Min-Yen

A2 - Hoste, Veronique

A2 - Lenci, Alessandro

A2 - Sakti, Sakriani

A2 - Xue, Nianwen

PB - European Language Resources Association (ELRA)

CY - Torino

T2 - Joint 30th International Conference on Computational Linguistics and 14th International Conference on Language Resources and Evaluation, LREC-COLING 2024

Y2 - 20 May 2024 through 25 May 2024

ER -

Trajanov D, Apostol ES, Garabík R, Gkirtzou K, Gromann D, Liebeskind C et al. From Linguistic Linked Data to Big Data. in Calzolari N, Kan MY, Hoste V, Lenci A, Sakti S, Xue N, Hrsg., 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC-COLING 2024 - Main Conference Proceedings. Torino: European Language Resources Association (ELRA). 2024. S. 7489-7502

From Linguistic Linked Data to Big Data

Abstract

Konferenz

ÖFOS 2012

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