Ontology Update in the Cognitive Model of Ontology Learning

• Main Authors: Zhang De-Hai, Wang Nai-Yao, Wang Bin, Yang Zhong-Hao, Zhao Hang
• Format: Article
• Language: English
• Published: EDP Sciences 2016-01-01
• Series: ITM Web of Conferences
• Online Access: http://dx.doi.org/10.1051/itmconf/20160705010

Ontology has been used in many hot-spot fields, but most ontology construction methods are semiautomatic, and the construction process of ontology is still a tedious and painstaking task. In this paper, a kind of cognitive models is presented for ontology learning which can simulate human being’s learning from world. In this model, the cognitive strategies are applied with the constrained axioms. Ontology update is a key step when the new knowledge adds into the existing ontology and conflict with old knowledge in the process of ontology learning. This proposal designs and validates the method of ontology update based on the axiomatic cognitive model, which include the ontology update postulates, axioms and operations of the learning model. It is proved that these operators subject to the established axiom system.