Geospatial Knowledge Graph

Dear Colleagues,

In the past two decades, the knowledge-graph-based approach has been widely used in GIScience, since it provides an explicit and formalized representation of geospatial data. At the core of solutions based on knowledge graphs, we typically have an ontology to provide semantics to the data. Many researchers proposed geo-ontologies and geospatial knowledge graphs to represent domain knowledge, to support geospatial data integration, and to facilitate geospatial analysis. The purpose of this Topic is to collect high-quality research results about geospatial knowledge graphs, ranging from foundational theories to practical algorithm and tools, and to novel applications. The areas to be covered in this research topic may include, but are not limited to:

- Geospatial knowledge graph construction;

- Geospatial data integration through knowledge graphs;

- Geospatial ontologies;

- Querying geospatial knowledge graphs;

- Deep learning over geospatial knowledge graphs;

- Visualization of geospatial knowledge graphs;

- Systems for geospatial knowledge graphs;

- Applications of geospatial knowledge graphs.

Dr. Guohui Xiao
Dr. Yu Feng
Dr. Linfang Ding
Dr. Younes Hamdani
Topic Editors