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Linked Data as a Cornerstone of Linguistic Data Science
Type of publication
Tezės kitame recenzuojamame leidinyje / Theses in other peer-reviewed publication (T1e)
Type of publication (old)
T2
Author(s)
Gracia, Jorge |
Title
Linked Data as a Cornerstone of Linguistic Data Science
Date Issued
2022
Is part of
LLOD Approaches for Language Data Research and Management LLODREAM2022 : International Scientific Interdisciplinary Conference, September 21-22, 2022 : Abstract Book. ISBN 9786094880414
Field of Science
Abstract
At present, we are witnessing incredible advancements in language technologies,
natural language processing, and related fields, mostly stimulated by the success of deep
learning technologies and the increasing availability of huge amounts of textual data on
the Web. Algorithms and models that were commonly used a few years ago are rapidly
substituted by newer, more effective ones, with little time for researchers and practitioners to adapt to them. In such an evolving and challenging scenario, what is the role
of linguistic data science? We understand linguistic data science as a subfield of data
science which focuses on the systematic analysis and study of the structure and properties of linguistic data at a large scale, along with methods and techniques to extract new
knowledge and insights from it. To that end, it is necessary to provide a formal basis to
the analysis, representation, integration, and exploitation of such data at their different
levels (syntax, morphology, lexicon, etc.).
Type of document
type::text::journal::journal article::research article
Language
Anglų / English (en)
Access Rights
Atviroji prieiga / Open Access