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Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/33978
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dc.contributor.authorTrajanov, Dimitaren_US
dc.contributor.authorApostol, Elena-Simonaen_US
dc.contributor.authorGarabík, Radovanen_US
dc.contributor.authorGkirtzou, Katerinaen_US
dc.contributor.authorGromann, Dagmaren_US
dc.contributor.authorLiebeskind, Chayaen_US
dc.contributor.authorPalma, Cosimoen_US
dc.contributor.authorRosner, Michaelen_US
dc.contributor.authorSampri, Alexiaen_US
dc.contributor.authorSerasset, Gillesen_US
dc.contributor.authorSpahiu, Blerinaen_US
dc.contributor.authorTruica, Ciprian-Octavianen_US
dc.contributor.authorValūnaitė Oleškevičienė, Giedrėen_US
dc.date.accessioned2025-08-25T13:05:53Z-
dc.date.available2025-08-25T13:05:53Z-
dc.date.issued2024-05-22-
dc.identifier.urihttp://hdl.handle.net/20.500.12188/33978-
dc.description.abstractWith 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.en_US
dc.subjectLinguistic Linked Open Data (LLOD), Big Data, Linguistic Data Science, efficient processingen_US
dc.titleFrom linguistic linked data to big dataen_US
dc.typeProceedingsen_US
dc.relation.conferenceProceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)en_US
item.fulltextWith Fulltext-
item.grantfulltextopen-
crisitem.author.deptFaculty of Computer Science and Engineering-
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