Representing Temporal Information in Lexical Linked Data Resources

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.