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Short Paper
DOI: 10.4230/LIPIcs.COSIT.2026.20
GeoKG for GeoFM: Neuro-Symbolic Integration of Semantically-Enriched Geospatial-Temporal Data (Short Paper)

Authors: Kai Moltzen, Debayan Banerjee, Julian Burmester, Anna Ehrenberg, Martin Kohler, Cedric Möller, Jann Pfeifer, Tilahun Abedissa Taffa, Hanna Marlene Schulz, Aida Usmanova, Patrick Westphal, and Ricardo Usbeck

Published in: LIPIcs, Volume 393, 17th International Conference on Spatial Information Theory (COSIT 2026)

Abstract
Solving complex real‑world problems requires integrating heterogeneous data. Although recent Geospatial Foundation Models (GeoFMs) excel at pixel‑level analysis, they make only limited use of the geographic information contained in natural language texts and therefore often lack the semantic context needed for complex geospatial reasoning. This vision paper argues for reconceiving unstructured texts as a core component of a neuro‑symbolic framework that populates a geospatial‑temporal knowledge graph (GeoKG). We outline an architecture in which modality‑specific extractors produce multi‑granular footprints that are fused into a GeoKG, synchronizing symbolic representations with embeddings, geometries, and grid cells. This GeoKG supports geospatial reasoning and provides enriched training data for truly multimodal GeoFMs, for which we pose a set of research challenges.
Cite as

Kai Moltzen, Debayan Banerjee, Julian Burmester, Anna Ehrenberg, Martin Kohler, Cedric Möller, Jann Pfeifer, Tilahun Abedissa Taffa, Hanna Marlene Schulz, Aida Usmanova, Patrick Westphal, and Ricardo Usbeck. GeoKG for GeoFM: Neuro-Symbolic Integration of Semantically-Enriched Geospatial-Temporal Data (Short Paper). In 17th International Conference on Spatial Information Theory (COSIT 2026). Leibniz International Proceedings in Informatics (LIPIcs), Volume 393, pp. 20:1-20:9, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2026)

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@InProceedings{moltzen_et_al:LIPIcs.COSIT.2026.20,
  author =	{Moltzen, Kai and Banerjee, Debayan and Burmester, Julian and Ehrenberg, Anna and Kohler, Martin and M\"{o}ller, Cedric and Pfeifer, Jann and Taffa, Tilahun Abedissa and Schulz, Hanna Marlene and Usmanova, Aida and Westphal, Patrick and Usbeck, Ricardo},
  title =	{{GeoKG for GeoFM: Neuro-Symbolic Integration of Semantically-Enriched Geospatial-Temporal Data}},
  booktitle =	{17th International Conference on Spatial Information Theory (COSIT 2026)},
  pages =	{20:1--20:9},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-438-3},
  ISSN =	{1868-8969},
  year =	{2026},
  volume =	{393},
  editor =	{Timpf, Sabine and Filomena, Gabriele and Kapaj, Armand and Zhu, Rui and Giudice, Nicholas A. and Manley, Ed},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.COSIT.2026.20},
  URN =		{urn:nbn:de:0030-drops-275645},
  doi =		{10.4230/LIPIcs.COSIT.2026.20},
  annote =	{Keywords: GeoKG, Foundation Models, GeoFM, neuro-symbolic Data Integration}
}

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