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        <identifier>oai:drops-oai.dagstuhl.de:22974</identifier>
        <datestamp>2025-10-02T12:20:01Z</datestamp>
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          <dc:title>Database Theory in Action: Making Provenance and Probabilistic Database Theory Work in Practice (Invited Talk)</dc:title>
          <dc:creator>Maniu, Silviu</dc:creator>
          <dc:creator>Senellart, Pierre</dc:creator>
          <dc:subject>provenance</dc:subject>
          <dc:subject>probabilistic data</dc:subject>
          <dc:subject>ProvSQL</dc:subject>
          <dc:description>There has been a rich literature in database theory on how to model and manage the provenance of data (for instance using the semiring framework) and its uncertainty (in particular via probabilistic databases). In this article, we explain how these results have been used as the basis for practical implementations, notably in the ProvSQL system, and how these implementations need to be adapted for the efficient management of provenance and probability for real-world data.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Silviu Maniu and Pierre Senellart</dc:contributor>
          <dc:date>2025</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 328, 28th International Conference on Database Theory (ICDT 2025)</dc:relation>
          <dc:type>InProceedings</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.ICDT.2025.33</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-229746</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ICDT.2025.33</dc:identifier>
          <dc:language>eng</dc:language>
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