Graph Databases for Diachronic Language Data Modelling

Barbara McGillivray, Pierluigi Cassotti, Davide Di Pierro, Paola Marongiu, Anas Fahad Khan, Stefano Ferilli, Pierpaolo Basile

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

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Diachronic analysis is one of the most intriguing and complex tasks in linguistic studies. The interest in the task is well supported by the research on historical languages such as Latin. The amount of data in this language is a great opportunity to uncover unknown semantic changes.
Integrating lexical semantic information and diachronic language resources is essential in enabling quantitative accounts of language change. We present initial results from integrating Latin corpus data, Latin WordNet, and Wikidata into a graph database via the GraphBRAIN Schema and show the potential offered by this model for diachronic semantic research.
Original languageEnglish
Title of host publicationProceedings of Language, Data and Knowledge 2023 (LDK 2023)
Publication statusAccepted/In press - 5 May 2023


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