The increasing recognition of the utility of Linked Data as a means of publishing lexical resources has helped to underline the need for RDF-based data models with the flexibility and expressivity to be able to represent the most salient kinds of information contained in such resources as structured data; this includes, notably, information relating to time and the temporal dimension. In this article we describe a perdurantist approach to modelling diachronic lexical information which builds upon work which we have previously presented and which is based on the ontolex-lemon vocabulary. We present two extended examples, one taken from the Oxford English Dictionary, the other from a work on etymology, to show how our approach can handle different kinds of temporal information often found in lexical resources.
Representing Temporal Information in Lexical Linked Data Resources
2020
Abstract
The increasing recognition of the utility of Linked Data as a means of publishing lexical resources has helped to underline the need for RDF-based data models with the flexibility and expressivity to be able to represent the most salient kinds of information contained in such resources as structured data; this includes, notably, information relating to time and the temporal dimension. In this article we describe a perdurantist approach to modelling diachronic lexical information which builds upon work which we have previously presented and which is based on the ontolex-lemon vocabulary. We present two extended examples, one taken from the Oxford English Dictionary, the other from a work on etymology, to show how our approach can handle different kinds of temporal information often found in lexical resources.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
