HHT : An ontology to represent territorial dynamics for digital humanities - IRIT - Université Toulouse Jean Jaurès Access content directly
Conference Papers Year : 2023

HHT : An ontology to represent territorial dynamics for digital humanities

Abstract

The notion of territory plays a major role in human and social sciences as it allows to anchor in a spatio-temporal context the facts studied in humanities. Representation of territories as spatio-temporal entities has been tackled in various ways. However, approaches for an historical context are scarce, as most approaches are designed for either a contemporaneous or case specific use. Notably, most ontologies used to represent territories are focused on spatial representation and do not intend to ecompass the impact of actors over said space, which happens to be a defining dimension of territories in humanities. In order to represent historical territories, we proposed a new version of the previously conceived HHT ontology (Hierarchical Historical Territory) to represent hierarchical historical territories and include actors representation. The resulting ontology encompasses the description of evolving territories, territorial divisions, explicit change representation, the will of actors to change established characteristics of territories and allows to represent territories without having to know their geometry by relying on a notion of building blocks to replace polygonal geometry.
Fichier principal
Vignette du fichier
FOIS2023-ObARDI-Format.pdf (1.03 Mo) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-04310997 , version 1 (28-11-2023)

Licence

Attribution - NonCommercial

Identifiers

Cite

William Charles, Nathalie Jane Hernandez. HHT : An ontology to represent territorial dynamics for digital humanities. 13th International Conference on Formal Ontolog in Information Systems (FOIS 2023), Nathalie Aussenac-Gilles; Antony Galton; Torsten Hamman; Maria M. Hedblom, Jul 2023, Sherbrooke, Canada. pp.257 -- 271, ⟨10.3233/FAIA231133⟩. ⟨hal-04310997⟩
45 View
13 Download

Altmetric

Share

Gmail Facebook X LinkedIn More