An Ontology-based Semantic Search Model Study

摘要：

With the explosion of data growth, the problem how to retrieve information accurately and effectively comes into focus. To address this issue, researchers have put forward a variety of semantic retrieval models. This paper presents SDDP(Semantic, Density, Distance, Property) model which is an improved ontology-based semantic similarity calculation, and in this model the factors, such as semantic density, semantic depth, semantic distance and the attribute-based similarity calculation, are all involved. It was proved by experiment that the model has more improvement than other models in the recall and precision ratio.

关键词： ontology semantic retrieval semantic density semantic distance similarity

作者: Chongchong Zhao Jing Wang Wei Hu Xiao Yu Xiaofeng Wang

作者单位: School of Information Engineering University of Science and Technology Beijing, Beijing, China China Academy of Space Technology China National Aero-Technology Import & Export Corporation School of Information Engineering Univers

会议类型: 国际会议

会议名称: 2010 Third International Symposium on Knowledge Acquisition and Modeling(第三届知识获取与建模国际研讨会 KAN 2010)

会议地点: 武汉

会议语种:英文

页码: 182-185

在线出版日期: 2010-10-20（万方平台首次上网日期，不代表论文的发表时间）