Alexia Sampri


pdf bib
From Linguistic Linked Data to Big Data
Dimitar Trajanov | Elena Apostol | Radovan Garabik | Katerina Gkirtzou | Dagmar Gromann | Chaya Liebeskind | Cosimo Palma | Michael Rosner | Alexia Sampri | Gilles Sérasset | Blerina Spahiu | Ciprian-Octavian Truică | Giedre Valunaite Oleskeviciene
Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)

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.