Record link: 
http://hdl.handle.net/20.500.12708/230802
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Title: 
Native Provenance Computation for Federated and Non-Federated SPARQL Queries
en
Citation: 
Asma, Z., Hernández Castillo, D. A., Galárraga, L., Flouris, G., Fundulaki, I., & Hose, K. (2026). Native Provenance Computation for Federated and Non-Federated SPARQL Queries. Transactions on Graph Data and Knowledge, 4(1), 4:1-4:43. https://doi.org/10.4230/TGDK.4.1.4
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Publisher DOI: 
10.4230/TGDK.4.1.4
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Publication Type: 
Article - Original Research Article
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Language: 
English
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Authors: 
Asma, Zubaria 
Hernández Castillo, Daniel Antonio 
Galárraga, Luis 
Flouris, Giorgos 
Fundulaki, Irini 
Hose, Katja 
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Organisational Unit: 
E194-07 - Forschungsbereich Data Management 
E056-23 - Fachbereich Innovative Combinations and Applications of AI and ML (iCAIML) 
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Journal: 
Transactions on Graph Data and Knowledge 
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Date (published): 
2026
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Number of Pages: 
43
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Publisher: 
Schloss Dagstuhl - Leibniz Zentrum für Informatik
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Peer reviewed: 
Yes
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Keywords: 
Provenance; Knowledge Graphs; Federated Systems
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Research Areas: 
Logic and Computation: 20%
Information Systems Engineering: 80%
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Science Branch: 
1020 - Informatik: 90%
1010 - Mathematik: 10%
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