- Torsten Hahmann, University of Maine
- Gaurav Sinha, Ohio University
- Dalia Varanka, U.S. Geological Survey
- Chuanrong (Cindy) Zhang, University of Connecticut
Location, space, and spatial relations are important for a broad range of research and professional activity. While semantic models and technologies for spatial information include geometric features, coordinates, and some topological relations, richer and more nuanced and diverse geospatial concepts and vocabularies have not received the same attention, including representations and methods developed in spatial cognition, formal ontology, spatial knowledge representation and reasoning, qualitative spatial reasoning, and natural language processing. In many cases, geospatial concepts need to be modeled as multi-faceted ontological entities and not just as general locational attributes. Likewise, new and more efficient geocomputational methods are needed to support efficient geospatial information queries over the Geospatial Semantic Web to share and exchange larger sets of geospatial information.
This session brings together disparate elements of the geospatial semantics community to examine conceptual and implemented approaches to geospatial semantics and to explore paths forward for shared vocabularies, semantics, and innovative techniques.