Linking the LASLA Corpus in the LiLa Knowledge Base of Interoperable Linguistic Resources for Latin

Margherita Fantoli, Marco Passarotti, Francesco Mambrini, Giovanni Moretti, Paolo Ruffolo

Abstract
This paper describes the process of interlinking the 130 Classical Latin texts provided by an annotated corpus developed at the LASLA laboratory with the LiLa Knowledge Base, which makes linguistic resources for Latin interoperable by following the principles of the Linked Data paradigm and making reference to classes and properties of widely adopted ontologies to model the relevant information. After introducing the overall architecture of the LiLa Knowledge Base and the LASLA corpus, the paper details the phases of the process of linking the corpus with the collection of lemmas of LiLa and presents a federated query to exemplify the added value of interoperability of LASLA’s texts with other resources for Latin.
Anthology ID:
2022.ldl-1.4
Volume:
Proceedings of the 8th Workshop on Linked Data in Linguistics within the 13th Language Resources and Evaluation Conference
Month:
June
Year:
2022
Address:
Marseille, France
Editors:
Thierry Declerck, John P. McCrae, Elena Montiel, Christian Chiarcos, Maxim Ionov
Venue:
LDL
SIG:
Publisher:
European Language Resources Association
Note:
Pages:
26–34
Language:
URL:
https://aclanthology.org/2022.ldl-1.4
DOI:
Bibkey:
Cite (ACL):
Margherita Fantoli, Marco Passarotti, Francesco Mambrini, Giovanni Moretti, and Paolo Ruffolo. 2022. Linking the LASLA Corpus in the LiLa Knowledge Base of Interoperable Linguistic Resources for Latin. In Proceedings of the 8th Workshop on Linked Data in Linguistics within the 13th Language Resources and Evaluation Conference, pages 26–34, Marseille, France. European Language Resources Association.
Cite (Informal):
Linking the LASLA Corpus in the LiLa Knowledge Base of Interoperable Linguistic Resources for Latin (Fantoli et al., LDL 2022)
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https://preview.aclanthology.org/naacl24-info/2022.ldl-1.4.pdf
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