Graph Databases for Diachronic Language Data Modelling

TY - CHAP

T1 - Graph Databases for Diachronic Language Data Modelling

AU - McGillivray, Barbara

AU - Cassotti, Pierluigi

AU - Di Pierro, Davide

AU - Marongiu, Paola

AU - Khan, Anas Fahad

AU - Ferilli, Stefano

AU - Basile, Pierpaolo

PY - 2023/5/5

Y1 - 2023/5/5

N2 - 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.

AB - 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.

M3 - Conference paper

BT - Proceedings of Language, Data and Knowledge 2023 (LDK 2023)

ER -