Flattening and Saturation: Two Representation Changes for Generalization
Machine Learning - Special issue on evaluating and changing representation
Interactive theory revision: an inductive logic programming approach
Interactive theory revision: an inductive logic programming approach
Multidimensional access methods
ACM Computing Surveys (CSUR)
Computer and Robot Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Segmentation of Thematic Maps Using Colour and Spatial Attributes
GREC '97 Selected Papers from the Second International Workshop on Graphics Recognition, Algorithms and Systems
Automatic Interpretation of Scanned Maps: Reconstruction of Contour Lines
GREC '97 Selected Papers from the Second International Workshop on Graphics Recognition, Algorithms and Systems
Interpretation of Geographic Vector-Data in Practice
GREC '99 Selected Papers from the Third International Workshop on Graphics Recognition, Recent Advances
Automatically Acquiring Knowledge by Digital Maps in Artificial Intelligence Planning Techniques
Proceedings of the International Conference GIS - From Space to Territory: Theories and Methods of Spatio-Temporal Reasoning on Theories and Methods of Spatio-Temporal Reasoning in Geographic Space
Handling Continuous Data in Top-Down Induction of First-Order Rules
AI*IA '97 Proceedings of the 5th Congress of the Italian Association for Artificial Intelligence on Advances in Artificial Intelligence
Characters string recognition on maps, a method for high level reconstruction
ICDAR '95 Proceedings of the Third International Conference on Document Analysis and Recognition (Volume 1) - Volume 1
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Information given in topographic map legends or in GIS models is often insufficient to recognize interesting geographical patterns. Some prototypes of GIS have already been extended with a knowledge-base and some reasoning capabilities to support sophisticated map interpretation processes. Nevertheless, the acquisition of the necessary knowledge is still an open problem to which machine learning techniques can provide a solution. This paper presents an application of first-order rule induction to pattern recognition in topographic maps. Research issues related to the extraction of first-order logic descriptions from vectorized topographic maps are introduced. The recognition of morphological patterns in topographic maps of the Apulia region is presented as a case study.