<div class="csl-bib-body">
<div class="csl-entry">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. <i>Transactions on Graph Data and Knowledge</i>, <i>4</i>(1), 4:1-4:43. https://doi.org/10.4230/TGDK.4.1.4</div>
</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/230802
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en
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dc.publisher
Schloss Dagstuhl - Leibniz Zentrum für Informatik
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dc.relation.ispartof
Transactions on Graph Data and Knowledge
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dc.subject
Provenance
en
dc.subject
Knowledge Graphs
en
dc.subject
Federated Systems
en
dc.title
Native Provenance Computation for Federated and Non-Federated SPARQL Queries
en
dc.type
Article
en
dc.type
Artikel
de
dc.identifier.url
https://doi.org/10.4230/TGDK.4.1.4
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University of Stuttgart, Germany
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dc.contributor.affiliation
Centre Inria de l'Université de Rennes, France
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dc.description.startpage
4:1
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4:43
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Original Research Article
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4
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Logic and Computation
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Information Systems Engineering
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Transactions on Graph Data and Knowledge
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E194-07 - Forschungsbereich Data Management
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E056-23 - Fachbereich Innovative Combinations and Applications of AI and ML (iCAIML)
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University of Stuttgart
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Centre Inria de l'Université de Rennes
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E194-07 - Forschungsbereich Data Management
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E194 - Institut für Information Systems Engineering
