First-order rule induction for the recognition of morphological patterns in topographic maps

被引:0
|
作者
Malerba, D [1 ]
Esposito, F [1 ]
Lanza, A [1 ]
Lisi, FA [1 ]
机构
[1] Univ Bari, Dipartimento Informat, I-70126 Bari, Italy
来源
MACHINE LEARNING AND DATA MINING IN PATTERN RECOGNITION | 2001年 / 2123卷
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D O I
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中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
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页码:88 / 101
页数:14
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