A general framework for time granularity and its application to temporal reasoning
Annals of Mathematics and Artificial Intelligence
A boundary-sensitive approach to qualitative location
Annals of Mathematics and Artificial Intelligence
A Qualitative Coordinate Language of Location of Figures within the Ground
COSIT '97 Proceedings of the International Conference on Spatial Information Theory: A Theoretical Basis for GIS
A Taxonomy of Granular Partitions
COSIT 2001 Proceedings of the International Conference on Spatial Information Theory: Foundations of Geographic Information Science
Generalizing Graphs Using Amalgamation and Selection
SSD '99 Proceedings of the 6th International Symposium on Advances in Spatial Databases
Ontological analysis of taxonomic relationships
ER'00 Proceedings of the 19th international conference on Conceptual modeling
Approximate Qualitative Temporal Reasoning
Annals of Mathematics and Artificial Intelligence
Approximate qualitative spatial reasoning
Spatial Cognition and Computation
A Taxonomy of Granular Partitions
COSIT 2001 Proceedings of the International Conference on Spatial Information Theory: Foundations of Geographic Information Science
COSIT 2001 Proceedings of the International Conference on Spatial Information Theory: Foundations of Geographic Information Science
Granular Models for Vague Predicates
Proceedings of the 2008 conference on Formal Ontology in Information Systems: Proceedings of the Fifth International Conference (FOIS 2008)
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While mereotopology – the theory of boundaries, contact and separation built up on a mereological foundation – has found fruitful applications in the realm of qualitative spatial reasoning, it faces problems when its methods are extended to deal with those varieties of spatial and non-spatial reasoning which involve a factor of granularity. This is because granularity cannot easily be represented within a mereology-based framework. We sketch how this problem can be solved by means of a theory of igranular partitions, a theory general enough to comprehend not only the familiar sorts of spatial partitions but also a range of coarse-grained partitions of other, non-spatial sorts. We then show how these same methods can be extended to apply to finite sequences of granular partitions evolving over time, or to what we shall call coarse- and fine-grained ihistories.