@inproceedings{trajanov-etal-2024-linguistic,
    title = "From Linguistic Linked Data to Big Data",
    author = "Trajanov, Dimitar  and
      Apostol, Elena  and
      Garabik, Radovan  and
      Gkirtzou, Katerina  and
      Gromann, Dagmar  and
      Liebeskind, Chaya  and
      Palma, Cosimo  and
      Rosner, Michael  and
      Sampri, Alexia  and
      S{\'e}rasset, Gilles  and
      Spahiu, Blerina  and
      Truic{\u{a}}, Ciprian-Octavian  and
      Valunaite Oleskeviciene, Giedre",
    editor = "Calzolari, Nicoletta  and
      Kan, Min-Yen  and
      Hoste, Veronique  and
      Lenci, Alessandro  and
      Sakti, Sakriani  and
      Xue, Nianwen",
    booktitle = "Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)",
    month = may,
    year = "2024",
    address = "Torino, Italia",
    publisher = "ELRA and ICCL",
    url = "https://aclanthology.org/2024.lrec-main.661",
    pages = "7489--7502",
    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.",
}

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.
Trajanov, Dimitar Apostol, Elena Garabik, Radovan Gkirtzou, Katerina Gromann, Dagmar Liebeskind, Chaya Palma, Cosimo Rosner, Michael Sampri, Alexia S{\'e}rasset, Gilles Spahiu, Blerina Truic{\u{a}}, Ciprian-Octavian Valunaite Oleskeviciene, Giedre
From Linguistic Linked Data to Big Data