一种用于本体排序的内容分析方法

Content analysis method used for ontology ranking

针对使用传统的用于本体排序的方法得到的排序结果不够准确的问题,提出了一种新的内容分析方法。首先通过构造本体的概念模型提取本体的主题词集合得到本体的主题相似度;然后通过对关键词所在的本体上下文进行分析,得到本体相对于关键词的上下文相关度;最后结合主题相似度和上下文相关度得到本体相对于关键词的综合评价值并进行排序。实验结果表明,该方法可以有效地提高本体排序的准确性。

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.