eSPARQL: representing and reconciling agnostic and atheistic beliefs in RDF-star knowledge graphs
eSPARQL: representing and reconciling agnostic and atheistic beliefs in RDF-star knowledge graphs
Pan, Xinyi
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Hernandez, Daniel
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Seifer, Philipp
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Lämmel, Ralf
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Staab, Steffen
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Pan, Xinyi
dc3a2933-0faf-4237-b10b-fe7c34aef4e0
Hernandez, Daniel
39723173-ccff-4015-b506-cec5aec76936
Seifer, Philipp
cf4777a9-262b-4de1-bda4-46e4a989bfbc
Lämmel, Ralf
88466e78-a512-4c70-ad31-7d50c4006b7f
Staab, Steffen
bf48d51b-bd11-4d58-8e1c-4e6e03b30c49
Pan, Xinyi, Hernandez, Daniel, Seifer, Philipp, Lämmel, Ralf and Staab, Steffen
(2024)
eSPARQL: representing and reconciling agnostic and atheistic beliefs in RDF-star knowledge graphs.
The 23rd International Semantic Web Conference, , Hanover, United States.
11 - 15 Nov 2024.
(In Press)
Record type:
Conference or Workshop Item
(Paper)
Text
iswc2024-epistemic-crc
- Accepted Manuscript
More information
Accepted/In Press date: 30 July 2024
Venue - Dates:
The 23rd International Semantic Web Conference, , Hanover, United States, 2024-11-11 - 2024-11-15
Identifiers
Local EPrints ID: 492780
URI: http://eprints.soton.ac.uk/id/eprint/492780
PURE UUID: 8788860d-4b81-436c-bdbc-acae30e17931
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Date deposited: 14 Aug 2024 16:30
Last modified: 15 Aug 2024 01:46
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Contributors
Author:
Xinyi Pan
Author:
Daniel Hernandez
Author:
Philipp Seifer
Author:
Ralf Lämmel
Author:
Steffen Staab
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