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.File in questo prodotto:
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