Topic: Geospatial Knowledge Representation
Knowledge representation is a way to create abstract conceptual models of the real-world and enable reasoning and efficient knowledge computing and exploration. Emerging techniques in the design and use of geospatial knowledge representation frameworks in conjunction with GeoAI techniques for geospatial knowledge discovery is of interest.
Topics include:
Geospatial ontology development
Geospatial reasoning
Geospatial knowledge graphs and query
Knowledge storage and access
Geospatial AI (GeoAI) and geospatial knowledge representation
Knowledge exploration and visualization approaches
Applications of geospatial knowledge representation techniques in the
areas of Agriculture, Urban, and Disasters
The abstract submission deadline is July 25, 2024, the same as for regular submissions. After that date, each abstract will go through review process to ensure that they are high-quality and relevant.