Published April 10, 2024 | Version v1
Conference paper Open

From Linguistic Linked Data to Big Data

  • 1. ROR icon Saints Cyril and Methodius University of Skopje
  • 2. ROR icon Polytechnic University of Bucharest
  • 3. Jazykovedný ústav Ľ. Štúra Slovenskej Akadémie Vied
  • 4. Athena Research and Innovation Center In Information Communication & Knowledge Technologies
  • 5. ROR icon University of Vienna
  • 6. ROR icon Jerusalem College of Technology
  • 7. ROR icon University of Naples - L'Orientale
  • 8. ROR icon University of Malta
  • 9. ROR icon University of Cambridge
  • 10. Université Grenoble Alpes
  • 11. Laboratoire d'Informatique de Grenoble
  • 12. Universite Grenoble Alpes UFR Informatique Mathématiques et Mathématiques Appliquées de Grenoble
  • 13. ROR icon University of Milano-Bicocca
  • 14. Uppsala Universitet
  • 15. Universitatea Politehnica din Bucuresti
  • 16. ROR icon Mykolas Romeris University


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.



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