论文信息 - An optimized ontology transfer learning method

An optimized ontology transfer learning method

Recently, more and more research is devoted for ontology in the semantic web domain. Firstly, a method for choosing the set of candidate similar concepts is presented based on ontology graphical structural features and data mining. Secondly, a calculation method of conceptual similarity is proposed based on the characteristics of the concept ontology and information content. Finally, the optimized ontology can be transferred into learning. Experimental results illustrate that this method is effective for computing the concept similarity and ontology can be transferred successfully to learn.

Ajith Abraham | Hongbo Liu | Yunhong Li | Hong Tian

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