ATONTE: towards a new methodology for seed ontology development from texts and experts

RAWSTHORNE, Helen Mair; ABADIE, Nathalie; KERGOSIEN, Eric; DUCHÊNE, Cécile; SAUX, Eric

Communication avec acte

Author

RAWSTHORNE, Helen Mair
1003089 Laboratoire sciences et technologies de l'information géographique [LaSTIG]

ABADIE, Nathalie
1003089 Laboratoire sciences et technologies de l'information géographique [LaSTIG]

KERGOSIEN, Eric
39707 Groupe d'Études et de Recherche Interdisciplinaire en Information et COmmunication - ULR 4073 [GERIICO ]

DUCHÊNE, Cécile
1003089 Laboratoire sciences et technologies de l'information géographique [LaSTIG]

SAUX, Eric
13094 Institut de Recherche de l'Ecole Navale [IRENAV]

URI

https://ceur-ws.org/Vol-3256/paper4.pdf
http://hdl.handle.net/10985/23328

Date

2022-11-07

Abstract

ATONTE (ATlantis methodology for ONtology development from Texts and Experts) is a methodology for the manual development of low-level seed ontologies. The modelling process is based on a combination of knowledge from non-fiction text corpora such as manuals, information guides or sets of instructions, and the knowledge of domain experts. This article presents the five key steps of the ATONTE process. Seed ontologies created with ATONTE can be used to develop and populate knowledge graphs for use in specific applications within given technical domains.