A Comparison of Resource Data Framework and Inductive Logic Programing for Ontology Development
Nandini, Durgesh (2022): A Comparison of Resource Data Framework and Inductive Logic Programing for Ontology Development, in: Hamido Fujita, Philippe Fournier-Viger, Moonis Ali, u. a. (Hrsg.), Advances and Trends in Artificial Intelligence : Theory and Practices in Artificial Intelligence ; 35th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2022 Kitakyushu, Japan, July 19–22, 2022, Proceedings, Cham, Switzerland: Springer, S. 871–876, doi: 10.1007/978-3-031-08530-7_73.
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Author:
Title of the compilation:
Advances and Trends in Artificial Intelligence : Theory and Practices in Artificial Intelligence ; 35th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2022 Kitakyushu, Japan, July 19–22, 2022, Proceedings
Editors:
Fujita, Hamido
Fournier-Viger, Philippe
Wang, Yinglin
Conference:
35th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2022, July 19–22, 2022 ; Kitakyushu, Japan
Publisher Information:
Year of publication:
2022
Pages:
ISBN:
978-3-031-08529-1
978-3-031-08530-7
Language:
English
DOI:
URL:
Type:
Conferenceobject
URI:
Activation date:
January 19, 2026

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Permalink https://fis.uni-bamberg.de/handle/uniba/112631