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PREMOVE In LiLa: Integrating Latin Preverbed Motion Verbs With WordNet And VerbNet
Conference proceeding   Open access

PREMOVE In LiLa: Integrating Latin Preverbed Motion Verbs With WordNet And VerbNet

Andrea Farina, Marco Passarotti, Francesco Mambrini, Matteo Pellegrini, Giovanni Moretti and Eleonora Litta
The Fifteenth Language Resources and Evaluation Conference (LREC 2026), pp.3672-3683
The Fifteenth Language Resources and Evaluation Conference (LREC 2026), 15 (Palma de Mallorca, 11/05/2026–16/05/2026)
2026

Abstract

PREMOVE Lila Knowledge Base OntoLex-Lemon
PREMOVE is a diachronic dataset of Ancient Greek and Latin PREverbed MOtion VErbs, providing manually curated morphological, syntactic, and semantic annotations for almost three thousand verbal occurrences. This paper presents the integration of PREMOVE into the LiLa Knowledge Base of Latin, linking its semantic annotations to WordNet (WN) and VerbNet (VN). We describe the RDF conversion using OntoLex-Lemon and FrAC, enabling explicit modelling of token-level attestations and dataset-level provenance. The resulting linked resource achieves full FAIR compliance and supports complex SPARQL queries, allowing users to explore motion semantics across lexical, textual, and semantic layers. Example SPARQL queries demonstrate how researchers can retrieve attested forms for specific WN synsets or VN classes, supporting reproducible linguistic research and cross-resource exploration of motion semantics in ancient languages.
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