Please use this identifier to cite or link to this item: /library/oar/handle/123456789/130471
Title: From linguistic linked data to big data
Authors: Trajanov, Dimitar
Apostol, Elena-Simona
Ҳí,鲹DZ
Gkirtzou, Katerina
Gromann, Dagmar
Liebeskind, Chaya
Palma, Cosimo
Rosner, Michael
Sampri, Alexia
é,Ҿ
Spahiu, Blerina
հܾă,侱-ٲ
Oleskeviciene, Giedre Valunaite
Keywords: Linked data
Big data
Computer-aided engineering
Semantic Web
Data structures (Computer science)
Issue Date: 2024
Citation: հᲹԴDZ,.,DzٴDZ,..,Ҳí,.,Ұ쾱ٳdz,.,ҰdzԲ,.,쾱Ի,.,...&;š𱹾čė,..(2024,Ѳ).dzԲܾپ԰ٲٲٴٲٲ.ʰdz徱ԲǴٳ2024ǾԳԳٱԲپDzԲDzԴڱԳDzdzܳٲپDzԲԲܾپ,ԲܲdzܰԻܲپDz(鷡-䰿2024),մǰԴ,ٲ.489–7502.
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.
URI: https://www.um.edu.mt/library/oar/handle/123456789/130471
Appears in Collections:Scholarly Works - FacICTAI

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