一种基于语义树的三维模型检索方法  

Method of Three-dimensional Model Retrieval Based on Semantic Tree

作　　者：俞扬信[1] 

机构地区：[1]淮阴工学院计算机工程系,江苏淮安223003

出　　处：《情报理论与实践》2011年第1期107-111,共5页Information Studies:Theory & Application

基　　金：淮阴工学院自然科学基金项目"基于语义的三维模型检索技术研究"的成果之一;项目编号:HGB0907

摘　　要：本文借鉴文本检索领域的研究成果,利用标注文字信息描述单个模型的语义,采用语义树表达三维模型间的语义,基于WordNet计算检索关键词与语义树中节点的语义相似性,返回语义相关性强的模型。提出较灵活的返回策略,筛选各语义相关节点的代表模型,便于用户进一步优化检索结果。实验结果表明,基于语义树的三维模型检索方法能够提高信息检索的效率,具有较高的理论及应用价值。By reference to the research results of the text retrieval field,this paper uses the text message tagged to describe the semantics of the single model,uses the semantic tree to express the semantics between three-dimensional models,computes the semantic similarity between the retrieval Keywords and the nodes of the semantic tree based on WordNet,and returns the model with high semantic pertinency.A flexible return policy is proposed to filter the representative model of the semantics-related nodes so that the users may further optimize the retrieval results.According to the experimental results,the method of three-dimensional model retrieval based on semantic tree can improve the efficiency of information retrieval and is valuable both in theory and application.

关 键 词：信息检索 语义树 三维模型 语义相似性 

分 类 号：G354[文化科学—情报学]