We demonstrate the role of commonsense inference toward the modeling of qualitative notions of space and spatial change within a dynamic setup. The inference patterns are connecte...
How should a robot represent and reason about spatial information when it needs to collaborate effectively with a human? The form of spatial representation that is useful for robo...
William G. Kennedy, Magdalena D. Bugajska, Matthew...
Spatial data mining, i.e., discovery of interesting, implicit knowledge in spatial databases, is an important task for understanding and use of spatial data- and knowledge-bases. I...
The Partitioned Based Spatial-Merge Join (PBSM) of Patel and DeWitt and the Size Separation Spatial Join (S3 J) of Koudas and Sevcik are considered to be among the most efficient ...
: Usually spatial planning problems involve a large number of decision makers with different backgrounds and interests. The process of Collaborative Spatial Decision Making (CSDM)...
Nikos I. Karacapilidis, Dimitris Papadias, Max J. ...
Spatial indexes, such as the PMR quadtree, are important in spatial databases for efficient execution of queries involving spatial constraints, especially when the queries involve...
Many interfaces allow users to manipulate graphical objects, icons representing underlying data or the data themselves, against a spatial backdrop or canvas. Users take advantage ...
Frank M. Shipman III, Catherine C. Marshall, Thoma...
We present an approach to spatial inference which is based on the procedural semantics of spatial relations. In contrast to qualitative reasoning, we do not use discrete symbolic m...
Sylvia Wiebrock, Lars Wittenburg, Ute Schmid, Frit...
The transfer of spatial knowledge from virtual to real environments is one important issue in spatial cognition research. Up to now, studies in this domain have revealed that the p...
Uncertainty management for geometric data is currently an important problem for (extensible) databases in general and for spatial databases, image databases, and GIS in particular...