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        <identifier>oai:drops-oai.dagstuhl.de:27586</identifier>
        <datestamp>2026-09-03T08:33:48Z</datestamp>
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          <dc:title>Towards a Theory of Façade-X Data Access: Satisfiability of SPARQL Basic Graph Patterns</dc:title>
          <dc:creator>Asprino, Luigi</dc:creator>
          <dc:creator>Daga, Enrico</dc:creator>
          <dc:subject>Façade-X</dc:subject>
          <dc:subject>RDF</dc:subject>
          <dc:subject>SPARQL</dc:subject>
          <dc:subject>Knowledge Graphs</dc:subject>
          <dc:subject>Data Integration</dc:subject>
          <dc:description>Data integration is the primary use case for knowledge graphs. However, integrated data are not typically graphs but come in different formats, for example, CSV, XML, or a relational database. Façade-X is a recently proposed method for providing direct access to an open-ended set of data formats. The method includes a meta-model that specialises RDF to fit general data structures. This model allows to express SPARQL queries targeting data sources with those structures. Previous work formalised Façade-X and demonstrated how it can theoretically represent any format expressible with a context-free grammar, as well as the relational model. A reference implementation, SPARQL Anything, demonstrates the feasibility of the approach in practice. It is noteworthy that Façade-X utilises a fraction of RDF, and, consequently, not all SPARQL queries yield a solution (i.e. are satisfiable) when evaluated over a Façade-X graph. In this article, we consolidate Façade-X and we study the satisfiability of basic graph patterns. The theory is accompanied by an algorithm for deciding the satisfiability of basic graph patterns on Façade-X data sources. Furthermore, we provide extensive experiments with a proof-of-concept implementation, demonstrating practical feasibility, including with real-world queries. Our results pave the way for studying query execution strategies for Façade-X data access with SPARQL and supporting developers to build more efficient data integration systems for knowledge graphs.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Luigi Asprino and Enrico Daga</dc:contributor>
          <dc:date>2026</dc:date>
          <dc:relation>Is Part Of TGDK, Volume 4, Issue 2 (2024): Special Issue on Data Management for (Knowledge) Graphs. Transactions on Graph Data and Knowledge, Volume 4, Issue 2</dc:relation>
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          <dc:identifier>doi:10.4230/TGDK.4.2.5</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-275869</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/TGDK.4.2.5</dc:identifier>
          <dc:language>eng</dc:language>
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