Graph databases are a straightforward technology for storing knowledge graphs. However, they are schema-less. We apply the GraphBRAIN Schema (GBS) format to describe Time-sensitive Linguistic Knowledge in a graph database (Neo4j). Our schema can model relations between concepts and words, information about word occurrences, and diachronic information about concepts and words. This paper introduces GraphBRAIN technology and describes our model for time-sensitive linguistic data. Moreover, we provide an example of usage and show the potential of this model for humanities and cultural heritage research.
A New Time-sensitive Model of Linguistic Knowledge for Graph Databases
Basile P.;Cassotti P.;Ferilli S.;
2022-01-01
Abstract
Graph databases are a straightforward technology for storing knowledge graphs. However, they are schema-less. We apply the GraphBRAIN Schema (GBS) format to describe Time-sensitive Linguistic Knowledge in a graph database (Neo4j). Our schema can model relations between concepts and words, information about word occurrences, and diachronic information about concepts and words. This paper introduces GraphBRAIN technology and describes our model for time-sensitive linguistic data. Moreover, we provide an example of usage and show the potential of this model for humanities and cultural heritage research.File in questo prodotto:
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