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<p>In contrast to the current ecosystem of disconnected datasources, SAWGraph works by integrating and aligning data into a geospatial knowledge graph that supports interface that can dynamically answer questions about the related datasets. </p>
<p>In contrast to the current ecosystem of disconnected datasources, SAWGraph works by integrating and aligning data into a geospatial knowledge graph that supports interfaces that can dynamically answer questions about the related datasets. </p>
<p>Each of the graphs in the SAWGraph project is built upon a set of ontologies that define the structure and relationships within the data.
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Ontologies define the concepts and categories and how they relate. SAWGraph reuses and extends existing ontologies to ensure consistency and interoperability across datasets.
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Each graph also has dataset specific ontology extensions that preserve the original data structure and semantics while aligning it with the overall SAWGraph framework.
<td>The Contaminant Observations and Samples Ontology (ContaminOSO)</td>
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<td>The core ontology for the SAWGraph knowledge graph, defining key concepts and relationships related to environmental sampling and release of contaminants. An extensions of <ahref="https://www.w3.org/TR/vocab-ssn/">SOSA</a></td>
<td><ahref="https://doi.org/10.3233/FAIA250501" target="_blank">ContaminOSO: Ontological Foundations and Design Choices for an Ontology for Environmental Contamination Data</a>
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<i> T Hahmann, K Schweikert, S Stephen, D Kedrowski</i></td>
<p>SAWGraph uses topological enrichment with S2 and Administrative Region 3 (county subdivisions and towns) in order to semantically link data in all graphs via their location. This is further outlined in our paper: </p>
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<pclass="w3-panel"><ahref="https://doi.org/10.4230/lipics.giscience.2025.4 " target="_blank">Precomputed Topological Relations for Integrated Geospatial Analysis Across Knowledge Graphs</a><i>K Schweikert, DK Kedrowski, S Stephen, THahmann</i> In 13th International Conference on Geographic Information Science (GIScience 2025). Leibniz International Proceedings in Informatics (LIPIcs), Volume 346, pp. 4:1-4:22, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2025) <ahref="https://doi.org/10.4230/LIPIcs.GIScience.2025.4" target="_blank">https://doi.org/10.4230/LIPIcs.GIScience.2025.4</a>
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