Abstract
The increasing recognition of the utility of Linked Data as a means of publishing lexical resource has helped to underline the need for RDF based data models which have the flexibility and expressivity to be able to represent the most salient kinds of information contained in such resources as structured data, including, 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.- Anthology ID:
- 2020.ldl-1.3
- Volume:
- Proceedings of the 7th Workshop on Linked Data in Linguistics (LDL-2020)
- Month:
- May
- Year:
- 2020
- Address:
- Marseille, France
- Editors:
- Maxim Ionov, John P. McCrae, Christian Chiarcos, Thierry Declerck, Julia Bosque-Gil, Jorge Gracia
- Venue:
- LDL
- SIG:
- Publisher:
- European Language Resources Association
- Note:
- Pages:
- 15–22
- Language:
- English
- URL:
- https://aclanthology.org/2020.ldl-1.3
- DOI:
- Cite (ACL):
- Fahad Khan. 2020. Representing Temporal Information in Lexical Linked Data Resources. In Proceedings of the 7th Workshop on Linked Data in Linguistics (LDL-2020), pages 15–22, Marseille, France. European Language Resources Association.
- Cite (Informal):
- Representing Temporal Information in Lexical Linked Data Resources (Khan, LDL 2020)
- PDF:
- https://preview.aclanthology.org/naacl24-info/2020.ldl-1.3.pdf