From linguistic linked data to big data
Date Issued
2024-05-22
Author(s)
Apostol, Elena-Simona
Garabík, Radovan
Gkirtzou, Katerina
Gromann, Dagmar
Liebeskind, Chaya
Palma, Cosimo
Rosner, Michael
Sampri, Alexia
Serasset, Gilles
Spahiu, Blerina
Truica, Ciprian-Octavian
Valūnaitė Oleškevičienė, Giedrė
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.
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.
Subjects
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