@inproceedings{ionov-2025-ligt,
title = "Ligt: Towards an Ecosystem for Managing {I}nterlinear {G}lossed {T}exts with {L}inguistic {L}inked {D}ata",
author = "Ionov, Maxim",
editor = "Alam, Mehwish and
Tchechmedjiev, Andon and
Gracia, Jorge and
Gromann, Dagmar and
di Buono, Maria Pia and
Monti, Johanna and
Ionov, Maxim",
booktitle = "Proceedings of the 5th Conference on Language, Data and Knowledge",
month = sep,
year = "2025",
address = "Naples, Italy",
publisher = "Unior Press",
url = "https://aclanthology.org/2025.ldk-1.11/",
pages = "100--105",
ISBN = "978-88-6719-333-2",
abstract = "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."
}
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%0 Conference Proceedings
%T Ligt: Towards an Ecosystem for Managing Interlinear Glossed Texts with Linguistic Linked Data
%A Ionov, Maxim
%Y Alam, Mehwish
%Y Tchechmedjiev, Andon
%Y Gracia, Jorge
%Y Gromann, Dagmar
%Y di Buono, Maria Pia
%Y Monti, Johanna
%Y Ionov, Maxim
%S Proceedings of the 5th Conference on Language, Data and Knowledge
%D 2025
%8 September
%I Unior Press
%C Naples, Italy
%@ 978-88-6719-333-2
%F ionov-2025-ligt
%X 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.
%U https://aclanthology.org/2025.ldk-1.11/
%P 100-105
Markdown (Informal)
[Ligt: Towards an Ecosystem for Managing Interlinear Glossed Texts with Linguistic Linked Data](https://aclanthology.org/2025.ldk-1.11/) (Ionov, LDK 2025)
ACL