Composite regions in topological queries
Information Systems
Qualitative and Topological Relationships in Spatial Databases
SSD '93 Proceedings of the Third International Symposium on Advances in Spatial Databases
SSD '97 Proceedings of the 5th International Symposium on Advances in Spatial Databases
Uncertainty Management for Spatial Data in Databases: Fuzzy Spatial Data Types
SSD '99 Proceedings of the 6th International Symposium on Advances in Spatial Databases
Topological Relationships of Complex Points and Complex Regions
ER '01 Proceedings of the 20th International Conference on Conceptual Modeling: Conceptual Modeling
Identifying topological predicates for vague spatial objects
Proceedings of the 2005 ACM symposium on Applied computing
Modeling and querying vague spatial objects using shapelets
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
Modeling and querying fuzzy spatiotemporal databases
Information Sciences: an International Journal
VASA: An algebra for vague spatial data in databases
Information Systems
On a generic uncertainty model for position information
QuaCon'09 Proceedings of the 1st international conference on Quality of context
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Topological predicates are an important element of database systems that allow manipulation of spatial data. Based on the necessity for such systems to handle uncertainty, we introduce a general mechanism that identifies vague topological predicates. This definition forms part of a formal data model referred to as VASA (Vague Spatial Algebra), in which the data types vague regions, vague lines, and vague points are defined in terms of existing definition of crisp spatial data types. Following this trend, the mechanism presented here identifies vague topological predicates on the basis of well defined crisp topological predicates. An example implementation of the mechanism for vague regions is given.