ATONTE: towards a new methodology for seed ontology development from texts and experts
| Autor: | RAWSTHORNE, Helen Mair, ABADIE, Nathalie, KERGOSIEN, Eric, DUCHÊNE, Cécile, SAUX, Eric |
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| Přispěvatelé: | Laboratoire sciences et technologies de l'information géographique (LaSTIG), Ecole des Ingénieurs de la Ville de Paris (EIVP)-École nationale des sciences géographiques (ENSG), Institut National de l'Information Géographique et Forestière [IGN] (IGN)-Université Gustave Eiffel-Institut National de l'Information Géographique et Forestière [IGN] (IGN)-Université Gustave Eiffel, Groupe d'Études et de Recherche Interdisciplinaire en Information et COmmunication - ULR 4073 (GERIICO ), Université de Lille, Institut de Recherche de l'Ecole Navale (IRENAV), Université de Bordeaux (UB)-Institut Polytechnique de Bordeaux-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Arts et Métiers Sciences et Technologies, HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM), This work is co-financed by the Shom and the IGN and is being carried out at the LASTIG, a research unit at Université Gustave Eiffel., This work is co-financed by the SHOM and the IGN and is being carried out at the LASTIG, a research unit at Université Gustave Eiffel., Oscar Corcho, Laura Hollink, Oliver Kutz, Nicolas Troquard, Fajar J. Ekaputra |
| Jazyk: | angličtina |
| Rok vydání: | 2022 |
| Předmět: |
[INFO.INFO-TT]Computer Science [cs]/Document and Text Processing
technical domain Intelligence artificielle [Informatique] ontology development methodology application ontology low-level ontology development ontology development methodology seed ontology technical domain application ontology low-level ontology development seed ontology [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI] |
| Zdroj: | CEUR Workshop Proceedings CEUR Workshop Proceedings, 3256, 2022, Companion Proceedings of the 23rd International Conference on Knowledge Engineering and Knowledge Management EKAW 2022, 23rd international conference on knowledge engineering and knowledge management EKAW 2022, 23rd international conference on knowledge engineering and knowledge management, Sep 2022, Bozen-Bolzano, Italy., CEUR Workshop proceedings, 3256, 2022, Companion Proceedings of the 23rd International Conference on Knowledge Engineering and Knowledge Management 23rd International Conference on Knowledge Engineering and Knowledge Management (EKAW 2022) 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 |
| ISSN: | 1613-0073 |
| Popis: | Publication déjà téléversée dans HAL sous la référéence hal-03954342 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. |
| Databáze: | OpenAIRE |
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