@inproceedings{augello-passarotti-2026-towards,
title = "Towards the {L}ink{E}n Knowledge Base. A Neuro-Symbolic Approach to Build a Linked Data Hub for {E}nglish Lemmas with Large Language Models",
author = "Augello, Lorenzo and
Passarotti, Marco",
editor = "McCrae, John P. and
Gkirtzou, Katerina and
Khan, Fahad and
Martin Chozas, Patricia and
Carvalho, Sara and
Canning, Erin",
booktitle = "Proceedings of 10th Workshop on Linked Data in Linguistics ({LDL}-2026)",
month = may,
year = "2026",
address = "Palma, Mallorca (Spain)",
publisher = "ELRA Language Resources Association (ELRA)",
url = "https://aclanthology.org/2026.ldl-1.2/",
doi = "10.63317/5ndvctbdvkb7",
pages = "13--21",
abstract = "This paper presents the first core component of LinkEn, a knowledge base of interoperable language resources for English adhering to Linked Open Data principles. With this initial step towards a broader infrastructure, we focus on the development of a lemma-centered hub designed to enable interoperability between distributed lexical resources, corpora, and linguistic annotations. The modeling is inspired by the LiLa Knowledge Base for Latin and the OntoLex-Lemon model, ensuring compatibility with existing lemma-centric knowledge graphs and enabling future cross-linguistic interoperability. Rather than relying solely on manual knowledge graph construction and significant human effort, the lemma bank has been developed through a hybrid neuro-symbolic pipeline that integrates large language models into the generation of RDF data under explicit ontological constraints. This approach combines automated generation with ontology-driven supervision and evaluation, enabling scalable yet controlled construction of structured lexical knowledge. By presenting the first steps towards the LinkEn Knowledge Base, this paper contributes both a new lemma bank for English and an experimental methodology for the semi-automatic creation of Linked Data based knowledge graphs."
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<abstract>This paper presents the first core component of LinkEn, a knowledge base of interoperable language resources for English adhering to Linked Open Data principles. With this initial step towards a broader infrastructure, we focus on the development of a lemma-centered hub designed to enable interoperability between distributed lexical resources, corpora, and linguistic annotations. The modeling is inspired by the LiLa Knowledge Base for Latin and the OntoLex-Lemon model, ensuring compatibility with existing lemma-centric knowledge graphs and enabling future cross-linguistic interoperability. Rather than relying solely on manual knowledge graph construction and significant human effort, the lemma bank has been developed through a hybrid neuro-symbolic pipeline that integrates large language models into the generation of RDF data under explicit ontological constraints. This approach combines automated generation with ontology-driven supervision and evaluation, enabling scalable yet controlled construction of structured lexical knowledge. By presenting the first steps towards the LinkEn Knowledge Base, this paper contributes both a new lemma bank for English and an experimental methodology for the semi-automatic creation of Linked Data based knowledge graphs.</abstract>
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%0 Conference Proceedings
%T Towards the LinkEn Knowledge Base. A Neuro-Symbolic Approach to Build a Linked Data Hub for English Lemmas with Large Language Models
%A Augello, Lorenzo
%A Passarotti, Marco
%Y McCrae, John P.
%Y Gkirtzou, Katerina
%Y Khan, Fahad
%Y Martin Chozas, Patricia
%Y Carvalho, Sara
%Y Canning, Erin
%S Proceedings of 10th Workshop on Linked Data in Linguistics (LDL-2026)
%D 2026
%8 May
%I ELRA Language Resources Association (ELRA)
%C Palma, Mallorca (Spain)
%F augello-passarotti-2026-towards
%X This paper presents the first core component of LinkEn, a knowledge base of interoperable language resources for English adhering to Linked Open Data principles. With this initial step towards a broader infrastructure, we focus on the development of a lemma-centered hub designed to enable interoperability between distributed lexical resources, corpora, and linguistic annotations. The modeling is inspired by the LiLa Knowledge Base for Latin and the OntoLex-Lemon model, ensuring compatibility with existing lemma-centric knowledge graphs and enabling future cross-linguistic interoperability. Rather than relying solely on manual knowledge graph construction and significant human effort, the lemma bank has been developed through a hybrid neuro-symbolic pipeline that integrates large language models into the generation of RDF data under explicit ontological constraints. This approach combines automated generation with ontology-driven supervision and evaluation, enabling scalable yet controlled construction of structured lexical knowledge. By presenting the first steps towards the LinkEn Knowledge Base, this paper contributes both a new lemma bank for English and an experimental methodology for the semi-automatic creation of Linked Data based knowledge graphs.
%R 10.63317/5ndvctbdvkb7
%U https://aclanthology.org/2026.ldl-1.2/
%U https://doi.org/10.63317/5ndvctbdvkb7
%P 13-21
Markdown (Informal)
[Towards the LinkEn Knowledge Base. A Neuro-Symbolic Approach to Build a Linked Data Hub for English Lemmas with Large Language Models](https://aclanthology.org/2026.ldl-1.2/) (Augello & Passarotti, LDL 2026)
ACL