An Ontology Concept Update Method Based on Hybrid Semantic Similarity

摘要：

　　With the change of information,the existing ontology cannot satisfy users requirements.In order to realize the extension of ontology concepts and reduce the excessive dependence on domain experts,an ontology concept update method is proposed.Based on WordNet,the calculation of IC(Information Content)is improved,and then we propose a new hybrid measurement to calculate semantic similarity.Due to the data and object properties of ontology are ignored by the semantic similarity methods,property similarity is added to make an adjustment.Through experiments and comparison,the Pearson correlation coefficient between the improved semantic similarity method and the standard datasets is higher than other related methods,and the result is closer to human subjective judgment.The ontology concept update method is used to analyze a constructed ontology of academic conference.The results show that this method can update the ontology concept,and has certa.

关键词： Ontology Concept update Semantic similarity WordNet

作者: Peng Zhang Jiahui Qi Min Wu

作者单位: Center of Modern Educational Technology,University of Science and Technology of China,Hefei 230026,China

会议类型: 国际会议

会议名称: 2019 2nd International Conference on Mechanical Engineering, Industrial Materials and Industrial Electronics (MEIMIE 2019)2019年第二届机械工程、工业材料和工业电子国际会议(Meimie 2019)

会议地点: 大连

会议语种:英文

页码: 232-240

在线出版日期: 2019-03-29（万方平台首次上网日期，不代表论文的发表时间）