A logical data model for integrated geographical databases
ISCI '90 Proceedings of the first international conference on systems integration on Systems integration '90
A general method for spatial reasoning in spatial databases
CIKM '95 Proceedings of the fourth international conference on Information and knowledge management
Qualitative Representation of Spatial Knowledge
Qualitative Representation of Spatial Knowledge
On Topological Elementary Equivalence of Spatial Databases
ICDT '97 Proceedings of the 6th International Conference on Database Theory
Lossless Representation of Topological Spatial Data
SSD '95 Proceedings of the 4th International Symposium on Advances in Spatial Databases
Order in Space: A General Formalism for Spatial Reasoning
ICTAI '96 Proceedings of the 8th International Conference on Tools with Artificial Intelligence
Information Sciences: an International Journal
Reasoning about topological relations between regions with broad boundaries
International Journal of Approximate Reasoning
A framework for dynamic updates of map data in mobile devices
International Journal of Web Engineering and Technology
Deriving topological relations between regions from direction relations
Journal of Visual Languages and Computing
A splitting line model for directional relations
Proceedings of the 19th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
Inconsistency issues in spatial databases
Inconsistency Tolerance
Assessing topological consistency for collapse operation in generalization of spatial databases
ER'05 Proceedings of the 24th international conference on Perspectives in Conceptual Modeling
Assessment of the accuracy of GeoNames gazetteer data
Proceedings of the 7th Workshop on Geographic Information Retrieval
Hi-index | 0.00 |
This paper focuses on the consistency issues related to integrating multiple sets of spatial data in spatial information systems such as Geographic Information Systems (GISs). Data sets to be integrated are assumed to hold information about the same geographic features which can be drawn from different sources at different times, which may vary in reliability and accuracy, and which may vary in the scale of presentation resulting in possible multiple spatial representations for these features. A systematic approach is proposed which relies first on breaking down the consistency issue by identifying a range of consistency classes which can be checked in isolation. These classes are a representative set of properties and relationships which can completely identify the geographic objects in the data sets. Different levels of consistency are then proposed, namely, total, partial and conditional, which can be checked for every consistency class. This provides the flexibility for two data sets to be integrated without necessarily being totally consistent in every aspect. The second step of the proposed approach is to explicitly represent the different classes and levels of consistency in the system. As an example, a simple structure which stores adjacency relationships is given which can be used for the explicit representation of topological consistency. The paper also proposes that the set of consistent knowledge in the data sets (which is mostly qualitative) be explicitly represented in the database and that uncertainty or ambiguity inherent in the knowledge be represented as well.