Overcoming the knowledge acquisition bottleneck in map generalization: the role of interactive systems and computational intelligence

摘要

Past research in cartographic generalization has shown that algorithmic methods are well suited to handle narrow tasks, but appear to have limited potential so solve the entire generalization process comprehensively. Attempts to use systems based on explicit knowledge representation (e.g., rule-based or expert systems) also had relatively little success. The major limiting factor to explicit knowledge systems in generalization is the scarcity of formalized knowledge available. That is, knowledge acquisition (KA) forms the major bottleneck to progress of knowledge-based techniques.