| 面向地理实体的语义相似性度量方法及其在道路匹配中的应用 |
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| 引用本文： | 赵云鹏,孙群,刘新贵,程绵绵,俞童,李元復.面向地理实体的语义相似性度量方法及其在道路匹配中的应用[J].武汉大学学报(信息科学版),2020(5):728-735. |
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| 作者姓名： | 赵云鹏 孙群 刘新贵 程绵绵 俞童 李元復 |
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| 作者单位： | 信息工程大学地理空间信息学院;河南省遥感测绘院 |
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| 基金项目： | 国家自然科学基金(41571399,41801313)。 |
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| 摘 要： | 语义相似性度量是实现多源矢量空间数据集成与融合的关键技术。首先以地理实体为研究对象,从矢量空间数据表达视角对地理实体的语义信息进行分析与描述,提出基于多特征约束的语义相似性度量模型。然后该模型将地理要素分类关系作为控制条件提取目标实体集,在构建实体间语义特征对应关系的基础上引入属性特征熵的概念,计算不同特征的权重值,进而综合多特征相似性来度量地理实体的整体语义相似程度。最后将该模型应用到道路实体匹配实验中,通过计算实体之间的语义相似性实现匹配,验证了该模型的有效性。实验结果表明,基于多特征约束下的语义相似性度量模型能够合理计算地理实体的语义相似度,且提高了地理实体语义匹配效率。
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| 关 键 词： | 地理实体 语义相似性 属性特征熵 道路匹配 |
Geographical Entity-Oriented Semantic Similarity Measurement Method and Its Application in Road Matching |
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| ZHAO Yunpeng,SUN Qun,LIU Xingui,CHENG Mianmian,YU Tong,LI Yuan.Geographical Entity-Oriented Semantic Similarity Measurement Method and Its Application in Road Matching[J].Geomatics and Information Science of Wuhan University,2020(5):728-735. |
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| Authors: | ZHAO Yunpeng SUN Qun LIU Xingui CHENG Mianmian YU Tong LI Yuan |
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| Institution: | (Institute of Geographical Spatial Information,Information Engineering University,Zhengzhou 450001,China;Henan Institute of Remote Sensing Surveying and Mapping,Zhengzhou 450003,China) |
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| Abstract: | Semantic similarity measurement is the key technology to realize the integration and fusion of multi-source vector spatial data. Firstly, this paper analyzes and describes the semantic information of geographical entities from the perspective of vector spatial data representation, and proposes a semantic similarity measurement model based on multi-feature constraints.Secondly,the model uses the classification relation of geographical elements to control the extraction of the target entity set. On the basis of constructing the corresponding relationship of semantic features among entities, the concept of attribute feature entropy is introduced to calculate the weight values of different features, and then the overall semantic similarity of geographical entities is measured by synthesizing the multi-feature similarity. Finally, the model is applied to road entity matching. The road matching is realized by calculating the semantic similarity between entities.Meanwhile, the validity of the model is verified. The experimental results show that the semantic similarity measurement model based on multi-feature constraints can reasonably calculate the semantic similarity of geographical entities and improve the efficiency of semantic matching of geographical entities. |
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| Keywords: | geographical entities semantic similarity attribute feature entropy road matching |
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