Ligt: Towards an Ecosystem for Managing Interlinear Glossed Texts with Linguistic Linked Data

Maxim Ionov


Abstract
53 Ligt is an RDF vocabulary developed for representing Interlinear Glossed Text, a common representation of language material used in particular in field linguistics and linguistic typology. In this paper, we look at its current status and different aspects of its adoption. More specifically, we explore the questions of data conversion, storage, and exploitation. We present ligttools, a set of newly developed converters, report on a series of experiments regarding querying Ligt datasets, and analyse the performance with various infrastructure configurations.
Anthology ID:
2025.ldk-1.11
Volume:
Proceedings of the 5th Conference on Language, Data and Knowledge
Month:
September
Year:
2025
Address:
Naples, Italy
Editors:
Mehwish Alam, Andon Tchechmedjiev, Jorge Gracia, Dagmar Gromann, Maria Pia di Buono, Johanna Monti, Maxim Ionov
Venues:
LDK | WS
SIG:
Publisher:
Unior Press
Note:
Pages:
100–105
Language:
URL:
https://preview.aclanthology.org/ldl-25-ingestion/2025.ldk-1.11/
DOI:
Bibkey:
Cite (ACL):
Maxim Ionov. 2025. Ligt: Towards an Ecosystem for Managing Interlinear Glossed Texts with Linguistic Linked Data. In Proceedings of the 5th Conference on Language, Data and Knowledge, pages 100–105, Naples, Italy. Unior Press.
Cite (Informal):
Ligt: Towards an Ecosystem for Managing Interlinear Glossed Texts with Linguistic Linked Data (Ionov, LDK 2025)
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PDF:
https://preview.aclanthology.org/ldl-25-ingestion/2025.ldk-1.11.pdf