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

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.

Mots clés

Application ontology Low-level ontology development Ontology development methodology Seed ontology Technical domain

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https://hal.science/hal-03954342

Soumis le : lundi 3 octobre 2022-10:59:00

Dernière modification le : jeudi 6 juin 2024-13:50:51

Archivage à long terme le : mercredi 4 janvier 2023-18:27:57

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hal-03954342 , version 1 (03-10-2022)

hal-03954342 , version 2 (24-01-2023)

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HAL Id : hal-03954342 , version 1

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Helen Mair Rawsthorne, Nathalie Abadie, Eric Kergosien, Cécile Duchêne, Eric Saux. ATONTE: towards a new methodology for seed ontology development from texts and experts. Oscar Corcho; Laura Hollink,; Oliver Kutz; Nicolas Troquard; Fajar J. Ekaputra. 23rd International Conference on Knowledge Engineering and Knowledge Management (EKAW 2022), Sep 2022, Bozen-Bolzano, Italy. Springer, Lecture Notes in Computer Science, 13514, Knowledge Engineering and Knowledge Management 23rd International Conference, EKAW 2022, Bolzano, Italy, September 26–29, 2022, Proceedings. ⟨hal-03954342v1⟩

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