Content analysis method used for ontology ranking
一种用于本体排序的内容分析方法*

The ontology ranking result was not precise enough using traditional method. Aiming at this problem, this paper proposed a new content analysis method. First, obtained the topic similarity according to the keywords set which was extracted by constructing the ontology conceptual model. Second, got the context relatedness through analyzing the ontology context. Finally, combined the topic similarity and context relatedness to calculate the ranking value which was used to order the related ontologies. The experimental result shows that the method can improve the precision of the ontology ranking result.