We present a representation of spatial data that supports answering of qualitative queries (involving e.g. containment and overlap), using less time than numerical computations on coordinates, and less space than explicitly storing the relations. The representation is based on the well-known bintree indexing data structure, which we refine to provide exact answers instead of approximations. We have imple- mented the method, and tested it on several real-world datasets with promising results
Representation and reasoning with qualitative spatial relations is an important problem in artificia...
Modern spatial database applications built on top of distributed and heterogeneous spatial informati...
In this paper, we present an online (incremental) algorithm for checking the satisfiability of quali...
In this paper we extend previous work on using bintrees as an efficient representation for qualitati...
In this paper we extend previous work on using bintrees as an efficient representation for qualitati...
The concrete problem this paper addresses is the following: Given a set of objects with a spatial in...
This paper develops a new mechanism to efficiently compute and compactly store qualitative spatial r...
The role of spatial reasoning in the development of systems in the domain of Artificial Intelligence...
Approximation techniques for spatial data traditionally concern data capture and data representation...
Reasoning about spatial data is a key task in many applications, including geographic information sy...
We discuss locations as defined by their qualitative spatial relations to other features, dubbed qua...
For a long time, Geographic Information Systems (GISs) have been used by GIS-experts to perform nume...
: Spatial relations are becoming an important aspect of spatial access methods because of the increa...
‘Qualitative spatial reasoning and representation’ is a range of techniques developed in Artificial ...
We present a unified framework for classifying and answering spatial queries relevant to a Geographi...
Representation and reasoning with qualitative spatial relations is an important problem in artificia...
Modern spatial database applications built on top of distributed and heterogeneous spatial informati...
In this paper, we present an online (incremental) algorithm for checking the satisfiability of quali...
In this paper we extend previous work on using bintrees as an efficient representation for qualitati...
In this paper we extend previous work on using bintrees as an efficient representation for qualitati...
The concrete problem this paper addresses is the following: Given a set of objects with a spatial in...
This paper develops a new mechanism to efficiently compute and compactly store qualitative spatial r...
The role of spatial reasoning in the development of systems in the domain of Artificial Intelligence...
Approximation techniques for spatial data traditionally concern data capture and data representation...
Reasoning about spatial data is a key task in many applications, including geographic information sy...
We discuss locations as defined by their qualitative spatial relations to other features, dubbed qua...
For a long time, Geographic Information Systems (GISs) have been used by GIS-experts to perform nume...
: Spatial relations are becoming an important aspect of spatial access methods because of the increa...
‘Qualitative spatial reasoning and representation’ is a range of techniques developed in Artificial ...
We present a unified framework for classifying and answering spatial queries relevant to a Geographi...
Representation and reasoning with qualitative spatial relations is an important problem in artificia...
Modern spatial database applications built on top of distributed and heterogeneous spatial informati...
In this paper, we present an online (incremental) algorithm for checking the satisfiability of quali...