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        <identifier>oai:drops-oai.dagstuhl.de:20836</identifier>
        <datestamp>2024-11-27T23:17:29Z</datestamp>
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          <dc:title>An Ontology and Geospatial Knowledge Graph for Reasoning About Cascading Failures (Short Paper)</dc:title>
          <dc:creator>Hahmann, Torsten</dc:creator>
          <dc:creator>Kedrowski, David K.</dc:creator>
          <dc:subject>knowledge graph</dc:subject>
          <dc:subject>ontology</dc:subject>
          <dc:subject>OWL</dc:subject>
          <dc:subject>spatial reasoning</dc:subject>
          <dc:subject>cascading failures</dc:subject>
          <dc:subject>urban infrastructure</dc:subject>
          <dc:description>During a natural disaster such as flooding, the failure of a single asset in the complex and interconnected web of critical urban infrastructure can trigger a cascade of failures within and across multiple systems with potentially life-threatening consequences. To help emergency management effectively and efficiently assess such failures, we design the Utility Connection Ontology Design Pattern to represent utility services and model connections within and across those services. The pattern is encoded as an OWL ontology and instantiated with utility data in a geospatial knowledge graph. We demonstrate how it facilitates reasoning to identify cascading service failures due to flooding for producing maps and other summaries for situational awareness.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Torsten Hahmann and David K. Kedrowski</dc:contributor>
          <dc:date>2024</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 315, 16th International Conference on Spatial Information Theory (COSIT 2024)</dc:relation>
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          <dc:identifier>doi:10.4230/LIPIcs.COSIT.2024.21</dc:identifier>
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