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唐卡图像关键区域对象概念的语义相似度计算
引用本文:郭晓然,王维兰.唐卡图像关键区域对象概念的语义相似度计算[J].自动化与仪器仪表,2014(9):132-134.
作者姓名:郭晓然  王维兰
作者单位:西北民族大学数学与计算机科学学院 兰州,730030
基金项目:国家自然科学基金资助项目“结合领域知识的唐卡图像修复系统模型及应用研究”
摘    要:唐卡图像中关键区域对象的概念所表达内涵具有一定的相似性,进行定量计算和分析,对研究唐卡图像高层语义检索具有重要意义。针对该问题,引入形式概念分析,提出一种唐卡图像关键区域概念语义相似度的计算方法。首先提取唐卡图像中关键区域对象的概念和一系列的语义关键词作为形式背景来构造概念格,通过概念格计算概念间的语义相似度,实验结果表明,本文方法计算结果与人工判断结果相吻合,具有可行性和有效性。

关 键 词:唐卡图像  形式概念分析  概念格  语义相似度

Thangka image semantic similarity calculation of critical area of the object concept
GUO Xiao-ran,WANG Wei-lan.Thangka image semantic similarity calculation of critical area of the object concept[J].Automation & Instrumentation,2014(9):132-134.
Authors:GUO Xiao-ran  WANG Wei-lan
Abstract:The key area' s concept of Thangka image have similar connotation, and this study of how to calculate quantitatively has important significance of Thangka image high-level semantic retrieval. Aiming at this problem, this paper presents a calculation method of Thangka image key area' s concept semantic similarity based on FCA. First, extract the key area' s concepts of Thangka image and a series of semantic keywords to construct formal context, and then construct concept lattice, finally, compute the semantic similarity throughthe concept lattice between concepts.The experimental results of this method are roughly consistent with the Artificial judgment result, which is illustrated toshow the feasibility and effectiveness of this method.
Keywords:Thangka image  Formal Concept Analysis(FCA)  Concept lattice  Semantic similarity
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