Category theory for computing science, 2nd ed.
Category theory for computing science, 2nd ed.
A boundary-sensitive approach to qualitative location
Annals of Mathematics and Artificial Intelligence
Imprecision in Finite Resolution Spatial Data
Geoinformatica
COSIT '97 Proceedings of the International Conference on Spatial Information Theory: A Theoretical Basis for GIS
COSIT '97 Proceedings of the International Conference on Spatial Information Theory: A Theoretical Basis for GIS
COSIT '99 Proceedings of the International Conference on Spatial Information Theory: Cognitive and Computational Foundations of Geographic Information Science
Multi-Scale Partitions: Application to Spatial and Statistical Databases
SSD '95 Proceedings of the 4th International Symposium on Advances in Spatial Databases
Towards a Formal Model for Multi-Resolution Spatial Maps
SSD '95 Proceedings of the 4th International Symposium on Advances in Spatial Databases
Spatial Internet Marketplaces: A Grand Challenge?
SSD '97 Proceedings of the 5th International Symposium on Advances in Spatial Databases
The Algebraic Structure of Sets of Regions
COSIT '97 Proceedings of the International Conference on Spatial Information Theory: A Theoretical Basis for GIS
Annals of Mathematics and Artificial Intelligence
Modeling Moving Objects over Multiple Granularities
Annals of Mathematics and Artificial Intelligence
Supporting User-Defined Granularities in a Spatiotemporal Conceptual Model
Annals of Mathematics and Artificial Intelligence
COSIT '99 Proceedings of the International Conference on Spatial Information Theory: Cognitive and Computational Foundations of Geographic Information Science
Multiple zooming in geographic maps
Data & Knowledge Engineering
Spatial Abstraction: Aspectualization, Coarsening, and Conceptual Classification
Proceedings of the international conference on Spatial Cognition VI: Learning, Reasoning, and Talking about Space
Event-based topology for dynamic planar areal objects
International Journal of Geographical Information Science
Specifying essential features of street networks
COSIT'07 Proceedings of the 8th international conference on Spatial information theory
Relations in mathematical morphology with applications to graphs and rough sets
COSIT'07 Proceedings of the 8th international conference on Spatial information theory
Granularity transformations in wayfinding
Spatial cognition III
Structural knowledge transfer by spatial abstraction for reinforcement learning agents
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Hi-index | 0.00 |
This work is a contribution to the developing literature on multi-resolution data models. It considers operations for model-oriented generalization in the case where the underlying data is structured as a graph. The paper presents a new approach in that a distinction is made between generalizations that amalgamate data objects and those that select data objects. We show that these two types of generalization are conceptually distinct, and provide a formal framework in which both can be understood. Generalizations that are combinations of amalgamation and selection are termed simplifications, and the paper provides a formal framework in which simplifications can be computed (for example, as compositions of other simplifications). A detailed case study is presented to illustrate the techniques developed, and directions for further work are discussed.