Spatial and Temporal Granularity
Papers from the AAAI Workshop
Claudio Bettini and Angelo Montanari, Cochairs
The primary purpose of this workshop was to bring together active researchers in AI, databases and geographic information science to explore major trends and key issues in the field of spatial and temporal granularity. Providing and relating spatial and/or temporal representations at different grain levels of the same reality is an important research theme in all of these areas, and a major requirement for many applications. The inherent abstraction power of the granularity concept has been successfully exploited in several application domains, including temporal and spatial reasoning, hierarchical planning, natural language understanding, temporal database design, database interoperability, data mining, medical informatics, image processing, hierarchical reasoning in GIS, real-time system specification and verification.