3 Search Results for "Harrie, Lars"

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.
Cite as

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)

Copy BibTex To Clipboard

@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}
}
Document
DOI: 10.4230/DagSemProc.09161.4
Cartographic and semantic aspects on web services

Authors: Lars Harrie and Heiner Stuckenschmidt

Published in: Dagstuhl Seminar Proceedings, Volume 9161, Generalization of spatial information (2009)

Abstract
Several countries are currently working on setting up geoportals as part of their national spatial data infrastructure (SDI) (and this is also a requirement of the Inspire initiative). A key ability of these geoportals is that the user should be able to view (and download) data from several sources from one access point. This will certainly make the access to geospatial data easier. However, there are also cartographic and semantic challenges that have to be solved. In this discussion group we discussed some topics concerning both download services and view services and some possible solutions.
Cite as

Lars Harrie and Heiner Stuckenschmidt. Cartographic and semantic aspects on web services. In Generalization of spatial information. Dagstuhl Seminar Proceedings, Volume 9161, pp. 1-6, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2009)

Copy BibTex To Clipboard

@InProceedings{harrie_et_al:DagSemProc.09161.4,
  author =	{Harrie, Lars and Stuckenschmidt, Heiner},
  title =	{{Cartographic and semantic aspects on web services}},
  booktitle =	{Generalization of spatial information},
  pages =	{1--6},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2009},
  volume =	{9161},
  editor =	{S\'{e}bastien Musti\`{e}re and Monika Sester and Frank van Harmelen and Peter van Oosterom},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.09161.4},
  URN =		{urn:nbn:de:0030-drops-21345},
  doi =		{10.4230/DagSemProc.09161.4},
  annote =	{Keywords: Geopertals, integration, semantic technologies}
}
Document
DOI: 10.4230/DagSemProc.09161.5
Methods to Measure Map Readability

Authors: Lars Harrie

Published in: Dagstuhl Seminar Proceedings, Volume 9161, Generalization of spatial information (2009)

Abstract
Creation of maps in real-time web services introduces challenges concerning map readability. Therefore we must introduce analytical measures controlling the readability. The aim of this study is to develop and evaluate analytical readability measures with the help of user tests.
Cite as

Lars Harrie. Methods to Measure Map Readability. In Generalization of spatial information. Dagstuhl Seminar Proceedings, Volume 9161, pp. 1-6, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2009)

Copy BibTex To Clipboard

@InProceedings{harrie:DagSemProc.09161.5,
  author =	{Harrie, Lars},
  title =	{{Methods to Measure Map Readability}},
  booktitle =	{Generalization of spatial information},
  pages =	{1--6},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2009},
  volume =	{9161},
  editor =	{S\'{e}bastien Musti\`{e}re and Monika Sester and Frank van Harmelen and Peter van Oosterom},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.09161.5},
  URN =		{urn:nbn:de:0030-drops-21373},
  doi =		{10.4230/DagSemProc.09161.5},
  annote =	{Keywords: Map readability, generalization, web map services}
}
  • Refine by Type
  • 3 Document/PDF
  • 1 Document/HTML

  • Refine by Publication Year
  • 1 2025
  • 2 2009

  • Refine by Author
  • 2 Harrie, Lars
  • 1 Hahmann, Torsten
  • 1 Kedrowski, David K.
  • 1 Schweikert, Katrina
  • 1 Stephen, Shirly
  • Show More...

  • Refine by Series/Journal
  • 1 LIPIcs
  • 2 DagSemProc

  • Refine by Classification
  • 1 Computing methodologies → Ontology engineering
  • 1 Computing methodologies → Spatial and physical reasoning

  • Refine by Keyword
  • 1 GeoAI
  • 1 GeoKG
  • 1 GeoSPARQL
  • 1 Geopertals
  • 1 Map readability
  • Show More...

Any Issues?
X

Feedback on the Current Page

CAPTCHA

Thanks for your feedback!

Feedback submitted to Dagstuhl Publishing

Could not send message

Please try again later or send an E-mail
© 2023-2026 Schloss Dagstuhl – LZI GmbH Schloss Dagstuhl – LZI GmbH About DROPS Imprint Privacy Contact