Record link: 
http://hdl.handle.net/20.500.12708/225291
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Title: 
Expressive Description Logics with Rich Yet Affordable Numeric Constraints
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Citation: 
Di Stefano, F., Lukumbuzya, S., Ortiz, M., & Simkus, M. (2025). Expressive Description Logics with Rich Yet Affordable Numeric Constraints. In M. Ortiz, R. Wassermann, & T. Schaub (Eds.), Proceedings of the 22nd International Conference on Principles of Knowledge Representation and Reasoning (pp. 683–693). IJCAI. https://doi.org/10.24963/kr.2025/66
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Publisher DOI: 
10.24963/kr.2025/66
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Publication Type: 
Inproceedings - Full-Paper Contribution
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Language: 
English
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Authors: 
Di Stefano, Federica 
Lukumbuzya, Sanja 
Ortiz, Magdalena 
Simkus, Mantas 
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Organisational Unit: 
E192-03 - Forschungsbereich Knowledge Based Systems 
E192-02 - Forschungsbereich Databases and Artificial Intelligence 
E056-13 - Fachbereich LogiCS 
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Published in: 
Proceedings of the 22nd International Conference on Principles of Knowledge Representation and Reasoning 
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ISBN: 
978-1-956792-08-9
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DOI of the book: 
10.24963/kr.2025
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Date (published): 
2025
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Event name: 
22nd International Conference on Principles of Knowledge Representation and Reasoning (KR25) 
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Event date: 
11-Nov-2025 - 17-Nov-2025
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Event place: 
Melbourne, Australia
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Number of Pages: 
11
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Publisher: 
IJCAI
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Peer reviewed: 
Yes
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Keywords: 
Description logics; Numeric reasoning; Expressive Description Logics
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Project title: 
Ontologiegestützter Zugang zu temporalen Graphdaten: PIN8884924 (FWF - Österr. Wissenschaftsfonds) 
Compiling Knowledge into Applications: P30873-N35 (FWF - Österr. Wissenschaftsfonds) 
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Research Areas: 
Logic and Computation: 100%
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Science Branch: 
1020 - Informatik: 80%
1010 - Mathematik: 20%
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Appears in Collections:
Conference Paper

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