Space and time are inextricably linked. Reasoning about space often involves reasoning about change in spatial configurations. Qualitative spatial information theory encompasses spatial as well as temporal representation and reasoning. Qualitative Spatio-Temporal Representation and Reasoning: Trends and Future Directions is a contribution to the emerging discipline of qualitative spatial information theory within artificial intelligence. This collection of research covers both theory and application-centric research and provides a comprehensive perspective on the emerging area of qualitative spatio-temporal representation and reasoning. This revolutionary new field is increasingly becoming a core issue within mobile computing, GIS/spatial information systems, databases, computer vision as well as knowledge discovery and data mining.As heuristics are important to efficientreasoning, SparQ automatically computes reasoning heuristics for any calculus description providedano manual work is required. 4.1. SparQ by Example Letus consider avery simple example to ... After merging the two knowledge sources, the combined information shall be visualized for the user. The two databases DB1 and DB2 are depicted in Figure 7 and Figureanbsp;...
|Title||:||Qualitative Spatio-Temporal Representation and Reasoning: Trends and Future Directions|
|Author||:||Hazarika, Shyamanta M.|
|Publisher||:||IGI Global - 2012-05-31|