Abstract
Ontology learning has become a popular research field recently. But most ontology construction methods are semiautomatic, and the construction process of ontology is still a tedious and painstaking task. The cognitive model of ontology learning is an automatic model of ontology construction that simulates the process of human being recognizing the world. Induction is an important step of the model. This paper presents a strategy for the ontology induction in the cognitive model of ontology learning, which includes some generalization principles and the corresponding induction operators. It generates induction hypothesis through a series of operations. As a result, induction hypothesis are generated from the present ontology and it can generalize the existing ontology.
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