What question did this study set out to answer?

The aim is to investigate the integration of domain knowledge with geographic information systems, enhancing spatial analysis and decision-making.

Knowledge‐Based GIS : Bridging Domain Expertise and Geographic Information Science

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This special issue explores knowledge-based GIS in the AI era, emphasizing interdisciplinary collaboration for spatial analysis.

The aim is to investigate the integration of domain knowledge with geographic information systems, enhancing spatial analysis and decision-making.
Examined knowledge representation, extraction, and reasoning in K-GIS.
Explored applications of symbolic constructs and sub-symbolic learning.
Highlighted interdisciplinary collaboration and technological integration.
K-GIS approaches show improved methods for integrating domain expertise into geospatial tasks.
Hybrid knowledge representation enhances semantic interoperability, allowing better linking of data and actions.
The discussions highlight various open challenges in advancing K-GIS capabilities.

Zhang et al. (2026) studied this question.

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