Spatial relations are important in numerous domains, such as Spatial Query Languages, Image and Multimedia Databases, Reasoning and Geographic Applications. This paper is concerned with the retrieval of topological and direction relations using spatial data structures based on Minimum Bounding Rectangles. We describe topological and direction relations between region objects and we study the spatial information that Minimum Bounding Rectangles convey about the actual objects they enclose. Then we apply the results in R-trees and their variations, R<sup>+</sup>-trees and R*-trees, in order to minimize the number of disk accesses for queries involving topological and direction relations. We also investigate queries that express complex condit...
Reasoning about space has been a considerable field of study both in Artificial Intelligence and in ...
For a long time topological relationships between spatial objects have been a focus of research in a...
© 2014 AI Access Foundation. All rights reserved. Increasing the expressiveness of qualitative spati...
Recent developments in spatial relations have led to their use in numerous applications involving sp...
Recent developments in spatial relations have led to their use in numerous applications involving sp...
Abstract Recent developments in spatial relations have led to their use in numerous applications inv...
Abstract: R-trees and related structures, like R +-trees and R *-trees, have been used to answer que...
Despite the attention that direction relations have attracted in domains such as Spatial Query Langu...
Many spatial data modeling strategies rely upon approximate representations of spatial objects both ...
This paper develops a new mechanism to efficiently compute and compactly store qualitative spatial r...
This paper presents a new framework for modeling topological relations among objects of type point, ...
The integration of topological and direction relations plays an important role in many applications,...
The world of spatial information has been painstakingly studied over the past forty years and, for t...
Increasing the expressiveness of qualitative spatial calculi is an essential step towards meeting th...
Direction based spatial relationships are critical in many domains including geographic information ...
Reasoning about space has been a considerable field of study both in Artificial Intelligence and in ...
For a long time topological relationships between spatial objects have been a focus of research in a...
© 2014 AI Access Foundation. All rights reserved. Increasing the expressiveness of qualitative spati...
Recent developments in spatial relations have led to their use in numerous applications involving sp...
Recent developments in spatial relations have led to their use in numerous applications involving sp...
Abstract Recent developments in spatial relations have led to their use in numerous applications inv...
Abstract: R-trees and related structures, like R +-trees and R *-trees, have been used to answer que...
Despite the attention that direction relations have attracted in domains such as Spatial Query Langu...
Many spatial data modeling strategies rely upon approximate representations of spatial objects both ...
This paper develops a new mechanism to efficiently compute and compactly store qualitative spatial r...
This paper presents a new framework for modeling topological relations among objects of type point, ...
The integration of topological and direction relations plays an important role in many applications,...
The world of spatial information has been painstakingly studied over the past forty years and, for t...
Increasing the expressiveness of qualitative spatial calculi is an essential step towards meeting th...
Direction based spatial relationships are critical in many domains including geographic information ...
Reasoning about space has been a considerable field of study both in Artificial Intelligence and in ...
For a long time topological relationships between spatial objects have been a focus of research in a...
© 2014 AI Access Foundation. All rights reserved. Increasing the expressiveness of qualitative spati...