An Ontology and SWRL Based 3D Model Retrieval System

摘要：

3D model retrieval is an important part of multimedia retrieval.However,the performance of traditional retrieval method of text-based and content-based is not satisfying because the keyword and the shape feature do not include the semantic information of the 3D models.The paper explores an ontology and SWRL-based 3D model retrieval system Onto3D.It can infer 3D models semantic property by rule engine and retrieve the target models by ontology.The experiments on Princeton Shape Benchmark show that Onto3D achieves good perfrmance not only in text retrieval but also in shape retrieval.

关键词： Ontology SWRL 3D Model Retrieval Clustering

作者: Xinying Wang Tianyang Lv Shengsheng Wang Zhengxuan Wang

作者单位: College of Computer Science and Technology,Jilin University,Changchun,China;Key Laboratory for Symbo College of Computer Science and Technology,Jilin University,Changchun,China;Key Laboratory for Symbo

会议类型: 国际会议

会议名称: 4th Asia Information Retrieval Symposium(AIRS 2008)(第四届亚洲信息检索研讨会)

会议地点: 哈尔滨

会议语种:英文

页码: 335-344

在线出版日期: 2008-01-16（万方平台首次上网日期，不代表论文的发表时间）