Despite the growing interest in publishing linguistic data as Linked Open Data, the publishing of ancient language corpora for the Semantic Web is still challenging. This contribution describes a systematic literature review on the representation of corpus data as Linguistic Linked Open Data, focusing especially on models and (data) granularity. Our goal is to gain insights into the advantages and disadvantages of the different approaches. Here we present our systematic review methodology and some initial results.

Representing texts as LOD: a Systematic Literature Review

Michela Bandini;Valeria Quochi
2024

Abstract

Despite the growing interest in publishing linguistic data as Linked Open Data, the publishing of ancient language corpora for the Semantic Web is still challenging. This contribution describes a systematic literature review on the representation of corpus data as Linguistic Linked Open Data, focusing especially on models and (data) granularity. Our goal is to gain insights into the advantages and disadvantages of the different approaches. Here we present our systematic review methodology and some initial results.
2024
Istituto di linguistica computazionale "Antonio Zampolli" - ILC
978-88-942535-8-0
Linked Open Data, Text corpora, ancient languages, systematic literature review
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/526227
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