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        <identifier>oai:drops-oai.dagstuhl.de:19804</identifier>
        <datestamp>2024-03-14T08:42:36Z</datestamp>
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          <dc:title>Evaluating Graph Queries Using Semantic Treewidth</dc:title>
          <dc:creator>Feier, Cristina</dc:creator>
          <dc:creator>Gogacz, Tomasz</dc:creator>
          <dc:creator>Murlak, Filip</dc:creator>
          <dc:subject>conjunctive two-way regular path queries</dc:subject>
          <dc:subject>fixed-parameter tractable evaluation</dc:subject>
          <dc:subject>semantic treewidth</dc:subject>
          <dc:subject>Datalog encoding</dc:subject>
          <dc:subject>optimization</dc:subject>
          <dc:description>Unions of conjunctive two-way regular path queries (UC2RPQs) are a common abstraction of query languages for graph databases, much like unions of conjunctive queries (UCQs) in the relational case. As in the case of UCQs, their evaluation is NP-complete in combined complexity. Semantic tree-width, i.e. the minimal treewidth of equivalent queries, has been proposed as a candidate criterion to characterize fixed-parameter tractability of UC2RPQs. It was recently shown how to decide the semantic tree-width of a UC2RPQ, by constructing the best under-approximation of a given treewidth, in the form of a UC2RPQ of size doubly exponential in the size of the original query. This leads to an fpt algorithm for evaluating UC2RPQs of semantic TW k which runs in time doubly exponential in the size of the parameter, i.e. in the UC2RPQ. Here we describe a more efficient fpt algorithm for evaluating UC2RPQs of semantic treewidth k which runs in time singly exponential in the size of the parameter. We do this by a careful construction of a witness query which, while still being doubly exponential, can be represented as a Datalog program of bounded width and singly exponential size.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Cristina Feier and Tomasz Gogacz and Filip Murlak</dc:contributor>
          <dc:date>2024</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 290, 27th International Conference on Database Theory (ICDT 2024)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.ICDT.2024.22</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-198048</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ICDT.2024.22</dc:identifier>
          <dc:language>eng</dc:language>
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