A translation approach to portable ontology specifications
Knowledge Acquisition - Special issue: Current issues in knowledge modeling
Toward principles for the design of ontologies used for knowledge sharing
International Journal of Human-Computer Studies - Special issue: the role of formal ontology in the information technology
Knowledge engineering for automated map design in DESCARTES
Proceedings of the 7th ACM international symposium on Advances in geographic information systems
Generalization of Spatial Data: Principles and Selected Algorithms
Algorithmic Foundations of Geographic Information Systems, this book originated from the CISM Advanced School on the Algorithmic Foundations of Geographic Information Systems
Semiology of graphics
A Task-Oriented Framework for Automatic Service Composition
SERVICES '09 Proceedings of the 2009 Congress on Services - I
Ontology-driven map generalization
Journal of Visual Languages and Computing
Ontology-Driven description of spatial data for their semantic processing
GeoS'05 Proceedings of the First international conference on GeoSpatial Semantics
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Automatic generalization of cartographic features has been recognized as a goal of Geographic Information Science (GIScience). Many successful algorithms have been introduced for generalization tasks such as point reduction and smoothing of linear features. Such algorithms operate well as a function of change in map scale or resolution. Other generalization tasks have proved considerably more difficult. Two of these operations, aggregation and dimensional collapse, are trivial to implement --- replacing a set of points with an area feature or replacing an area feature with a single point --- but have proven challenging to make operational. The decision to aggregate or collapse features is as much dependent on the context of the features as they are change in map scale. This dissertation proposes to show how ontologies can be used to inform automated generalization in these operations.