Use this url to cite publication: https://cris.mruni.eu/cris/handle/007/48032
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From Linguistic Linked Data to Big Data
Type of publication
Straipsnis recenzuojamoje užsienio konferencijos medžiagoje / Article in peer-reviewed foreign conference proceedings (P1g)
Author(s)
Trajanov, Dimitar | University Ss Cyril and Methodius in Skopje | MK |
Apostol, Elena-Simona | National University of Science and Technology Politehnica Buchares | RO |
Garabik, Radovan | Slovak Academy of Sciences | SK |
Gkirtzou, Katerina | Athena R.C.-ILSP | GR |
Gromann, Dagmar | University of Vienna | AT |
Liebeskind, Chaya | Jerusalem College of Technology | IL |
Palma, Cosimo | University of Naples ”L’Orientale | IT |
Rosner, Michael | University of Malta | MT |
Sampri, Alexia | University of Cambridge | GB |
Sérasset, Gilles | University Grenoble Alpes | FR |
Spahiu, Blerina | University of Milan-Bicocca | IT |
Truică, Ciprian-Octavian | National University of Science and Technology Politehnica Buchares | RO |
Title
From Linguistic Linked Data to Big Data
Publisher
Language Resources Association (ELRA), 2024
Date Issued
| Date Issued |
|---|
2024 |
Extent
p. 7489-7502.
Is part of
The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation : Main Conference Proceedings, 20-25 May, 2024 Torino, Italia / editors Nicoletta Calzolari ...[et. al.].
Series/Report no.
REC-COLING; 2024
Field of Science
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.
Type of document
text::conference output::conference proceedings::conference paper
ISBN (of the container)
9782493814104
ISSN (of the container)
2951-2093
2522-2686
eLABa
198394384
Coverage Spatial
Italija / Italy (IT)
Language
Anglų / English (en)
Bibliographic Details
66
Date Reporting
2024
Creative Commons License
Access Rights
Atviroji prieiga / Open Access
File(s)