Research of 3D Model for Information Retrieval Methods Based on Semantic Tree
The paper borrowed researching achievements in text retrieval field.describe the semantics of single model by using annotation,and present the semantics of 3D models by using semantic tree,based on the semantic similarity between the retrieval terms and semantic tree nodes with WordNet,and return the model that has strong semantic correlation. A flexible return policy is proposed to filter the representative model of the semantic relevant nodes so that the users can further optimize the retrieval results.According to the experimental results,the method of 3D model retrieval method based-on semantic tree proposed in this paper can improve the efficiency of information retrieval, which is valuable in theory as well as in application.
Text tagging Semantic tree 3D modeI Semantic similarity Information retrival
YU Yang-xin WANG Liu-yang ZHANG Yi-zhou
Faculty of Computer Engineering Huaiyin Institute of Technology Huaian,China Faculty of Computer Engineering Huaiyin Institute of Technology Huaian, China Party School of Chinese Communist Party Huaian City Committee Huaian,China
国际会议
2010 Seventh Web Information System and Applications Conference(第七届全国web信息系统及其应用学术会议)
呼和浩特
英文
119-123
2010-08-20（万方平台首次上网日期，不代表论文的发表时间）