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Documents authored by Schweikert, Katrina

Artifact
Software
DOI: 10.4230/artifacts.24220
SAWGraph Example Geospatial SPARQL Queries

Authors: Katrina Schweikert, David Kedrowski, Shirly Stephen, and Torsten Hahmann

Abstract
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Katrina Schweikert, David Kedrowski, Shirly Stephen, Torsten Hahmann. SAWGraph Example Geospatial SPARQL Queries (Software, SPARQL queries). Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2025)

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@misc{dagstuhl-artifact-24220,
   title = {{SAWGraph Example Geospatial SPARQL Queries}}, 
   author = {Schweikert, Katrina and Kedrowski, David and Stephen, Shirly and Hahmann, Torsten},
   note = {Software, version 1.1., NSF Grant 2333782: "Safe Agricultural Products and Water Graph (SAWGraph): An OKN to Monitor and Trace PFAS and Other Contaminants in the Nation’s Food and Water Systems", UMaine Center of Excellence associated with USDA-ARS New England Center for Sustained Soil and Water Health, swhId: \href{https://archive.softwareheritage.org/swh:1:dir:678ee78feb48f235c42bd5722e4c19f81f91f9dc;origin=https://github.com/SAWGraph/public;visit=swh:1:snp:62ba983ad514540fecdcecfc2ea8f3d13e723b5f;anchor=swh:1:rev:2356e76e79be326bf6a6c024a78a6dae95b936d9}{\texttt{swh:1:dir:678ee78feb48f235c42bd5722e4c19f81f91f9dc}} (visited on 2025-08-15)},
   url = {https://github.com/SAWGraph/public/tree/main/UseCases/UC3-Tracing/UC3-CQ15/GIScience2025-queries},
   doi = {10.4230/artifacts.24220},
}
Document
DOI: 10.4230/LIPIcs.GIScience.2025.4
Precomputed Topological Relations for Integrated Geospatial Analysis Across Knowledge Graphs

Authors: Katrina Schweikert, David K. Kedrowski, Shirly Stephen, and Torsten Hahmann

Published in: LIPIcs, Volume 346, 13th International Conference on Geographic Information Science (GIScience 2025)

Abstract
Geospatial Knowledge Graphs (GeoKGs) represent a significant advancement in the integration of AI-driven geographic information, facilitating interoperable and semantically rich geospatial analytics across various domains. This paper explores the use of topologically enriched GeoKGs, built on an explicit representation of S2 Geometry alongside precomputed topological relations, for constructing efficient geospatial analysis workflows within and across knowledge graphs (KGs). Using the SAWGraph knowledge graph as a case study focused on enviromental contamination by PFAS, we demonstrate how this framework supports fundamental GIS operations - such as spatial filtering, proximity analysis, overlay operations and network analysis - in a GeoKG setting while allowing for the easy linking of these operations with one another and with semantic filters. This enables the efficient execution of complex geospatial analyses as semantically-explicit queries and enhances the usability of geospatial data across graphs. Additionally, the framework eliminates the need for explicit support for GeoSPARQL’s topological operations in the utilized graph databases and better integrates spatial knowledge into the overall semantic inference process supported by RDFS and OWL ontologies.
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Katrina Schweikert, David K. Kedrowski, Shirly Stephen, and Torsten Hahmann. Precomputed Topological Relations for Integrated Geospatial Analysis Across Knowledge Graphs. 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)

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@InProceedings{schweikert_et_al:LIPIcs.GIScience.2025.4,
  author =	{Schweikert, Katrina and Kedrowski, David K. and Stephen, Shirly and Hahmann, Torsten},
  title =	{{Precomputed Topological Relations for Integrated Geospatial Analysis Across Knowledge Graphs}},
  booktitle =	{13th International Conference on Geographic Information Science (GIScience 2025)},
  pages =	{4:1--4:22},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-378-2},
  ISSN =	{1868-8969},
  year =	{2025},
  volume =	{346},
  editor =	{Sila-Nowicka, Katarzyna and Moore, Antoni and O'Sullivan, David and Adams, Benjamin and Gahegan, Mark},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.GIScience.2025.4},
  URN =		{urn:nbn:de:0030-drops-238332},
  doi =		{10.4230/LIPIcs.GIScience.2025.4},
  annote =	{Keywords: knowledge graph, GeoKG, spatial analysis, ontology, SPARQL, GeoSPARQL, discrete global grid system, S2 geometry, GeoAI, PFAS}
}
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