A modular geospatial Knowledge Graph with global coverage, highly detailed geometries and partial topological consistency.
A next-generation geospatial knowledge graph with powerful features
Easily extendable design that adapts to your specific geospatial data needs and use cases.
Comprehensive worldwide geospatial data representation with consistent modeling.
High quality data sources ensure topological consistency on the upper adminstrative levels.
ToposKG sources geospatial data from detailed sources like Global Administrative Unit Layers and OpenStreetMap among others.
Browse and download available geospatial data sources
Download the complete ToposKG dataset from our official Zenodo repository.
Download from ZenodoUse the official Python package toposkg
to fetch datasets programmatically.
Manually browse and download specific data sources using the interface below.
Browse InterfaceIf you want to manually download specific data sources you can do so through this interface:
Loading data sources...
Select a data source to view details
Explore the tools built around the ToposKG knowledge graph.
An intuitive GUI for exploring and querying the knowledge graph with ease. Built using Python, Qt and our official Python library.
View on GitHubThe core ToposKG library available on PyPI for integrating, querying, and expanding the graph programmatically.
View on PyPIA terminal-based assistant for natural language querying of the knowledge graph—lightweight and scriptable.
View on Google ColabPublication under review.
PhD Candidate
PhD Candidate
Scientific Supervisor, Professor
"GD.402. ARCHI-YPPhD-0824" PhD scholarship
"NIK. D. XRYSOVERGI" PhD scholarship
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