多尺度地理空间信息中地名数据一致性处理研究
发布时间：2018-08-01 11:38
【摘要】：地理空间数据库的建设与更新是国家空间数据基础设施建设的重要组成部分，其质量和现势性直接影响和制约地理信息应用的效果。地名是地理空间数据的重要组成部分，在地理信息数据应用中发挥着重要作用。随着国民经济的快速发展以及政区和行政区划的不断调整，地名数据也处于不断变化之中。由于资料来源、尺度和使用对象的不同，地理名称和地名数量在不同地名数据库中存在差异，多尺度地理空间信息中地名数据一致性处理便成为研究方向之一。本文对地名变化类型以及多尺度地名数据不一致的原因进行分析，在几何数据相似性和语义信息相似性匹配技术的基础上提出了多尺度地名数据一致性处理的模型及方法，结合地名数据中生僻汉字的特殊性，给出了不同的匹配处理方法。对多尺度地名信息一致性处理进行了较为深入的研究，开发了相应的实验系统。主要研究内容包括： 1.介绍了地名数据一致性处理的研究背景、研究意义和国内外研究现状，分析了当前地名数据一致性研究中存在的主要问题，论述了进行地名数据一致性处理的必要性和紧迫性。 2.剖析了地名一致性的基本概念和相关理论，研究了几何相似性度量模型和属性相似性算法，为多尺度地名数据一致性处理模型的建立和匹配更新算法的设计奠定了理论基础。 3.研究了地名汉字存储规则和地名数据结构，分析了各种类型地名变化的原因以及造成地名数据不一致性的因素。研究了地名数据一致性处理的原则和内容以及具体处理流程和主要方法。 4.从几何相似性和语义相似性两个方面分别研究了地名数据相似性匹配技术，根据不同的数据类型给出了多种地名相似性匹配模型算法。重点研究了多尺度地名数据一致性处理技术，针对地名生僻字的特殊性，采用多尺度数据间的生僻字地名相互搜索的办法，给出了地名匹配算法，实现了地名数据一致性处理。 5.开发了多尺度矢量地名数据一致性处理实验系统，论证了各模型算法的可行性，介绍了系统的功能模块，，主要包括属性查询、生僻字处理和地名匹配更新等内容。
[Abstract]:The construction and updating of geospatial database is an important part of the construction of national spatial data infrastructure. Its quality and present situation directly affect and restrict the effect of geographic information application. As an important part of geospatial data, geographical names play an important role in the application of geographic information data. With the rapid development of national economy and the adjustment of administrative districts and administrative divisions, geographical names data are also in constant change. Because of the difference of data sources, scales and objects, geographical names and the number of geographical names are different in different geographical names databases, so the consistency processing of geographical names data in multi-scale geospatial information becomes one of the research directions. This paper analyzes the change types of geographical names and the reasons for the inconsistency of multi-scale toponymic data. Based on the matching technology of geometric data similarity and semantic information similarity, the model and method of consistency processing of multi-scale toponymic data are put forward. According to the particularity of rare Chinese characters in toponymic data, different matching methods are given. In this paper, the consistency of multi-scale toponymic information is deeply studied, and the corresponding experimental system is developed. The main contents are as follows: 1. This paper introduces the research background, significance and current situation of the research on the consistency of toponymic data, and analyzes the main problems existing in the research of the consistency of toponymic data at present. This paper discusses the necessity and urgency of dealing with the consistency of toponymic data. The basic concepts and related theories of geographical names consistency are analyzed, and the geometric similarity measurement model and attribute similarity algorithm are studied. It lays a theoretical foundation for the establishment of consistency processing model of multi-scale toponymic data and the design of matching updating algorithm. This paper studies the storage rules and data structure of geographical names Chinese characters, analyzes the causes of the change of various types of geographical names and the factors that cause the inconsistency of geographical names data. This paper studies the principle and content of consistency processing of toponymic data, as well as the concrete processing flow and main methods. 4. In this paper, the similarity matching technology of geographical names data is studied in terms of geometric similarity and semantic similarity, and a variety of geographical names similarity matching model algorithms are given according to different data types. In this paper, the consistency processing technology of multi-scale toponymic data is studied emphatically. In view of the particularity of toponymic characters, a toponymic matching algorithm is put forward by using the method of searching for different geographical names among multi-scale data. The consistency processing of toponymic data is realized. 5. An experimental system for consistency processing of multi-scale vector toponymic data is developed, and the feasibility of each model algorithm is demonstrated. The functional modules of the system are introduced, including attribute query, remote word processing and place name matching update.
【学位授予单位】：解放军信息工程大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：P208;P281
本文编号：2157459
[Abstract]:The construction and updating of geospatial database is an important part of the construction of national spatial data infrastructure. Its quality and present situation directly affect and restrict the effect of geographic information application. As an important part of geospatial data, geographical names play an important role in the application of geographic information data. With the rapid development of national economy and the adjustment of administrative districts and administrative divisions, geographical names data are also in constant change. Because of the difference of data sources, scales and objects, geographical names and the number of geographical names are different in different geographical names databases, so the consistency processing of geographical names data in multi-scale geospatial information becomes one of the research directions. This paper analyzes the change types of geographical names and the reasons for the inconsistency of multi-scale toponymic data. Based on the matching technology of geometric data similarity and semantic information similarity, the model and method of consistency processing of multi-scale toponymic data are put forward. According to the particularity of rare Chinese characters in toponymic data, different matching methods are given. In this paper, the consistency of multi-scale toponymic information is deeply studied, and the corresponding experimental system is developed. The main contents are as follows: 1. This paper introduces the research background, significance and current situation of the research on the consistency of toponymic data, and analyzes the main problems existing in the research of the consistency of toponymic data at present. This paper discusses the necessity and urgency of dealing with the consistency of toponymic data. The basic concepts and related theories of geographical names consistency are analyzed, and the geometric similarity measurement model and attribute similarity algorithm are studied. It lays a theoretical foundation for the establishment of consistency processing model of multi-scale toponymic data and the design of matching updating algorithm. This paper studies the storage rules and data structure of geographical names Chinese characters, analyzes the causes of the change of various types of geographical names and the factors that cause the inconsistency of geographical names data. This paper studies the principle and content of consistency processing of toponymic data, as well as the concrete processing flow and main methods. 4. In this paper, the similarity matching technology of geographical names data is studied in terms of geometric similarity and semantic similarity, and a variety of geographical names similarity matching model algorithms are given according to different data types. In this paper, the consistency processing technology of multi-scale toponymic data is studied emphatically. In view of the particularity of toponymic characters, a toponymic matching algorithm is put forward by using the method of searching for different geographical names among multi-scale data. The consistency processing of toponymic data is realized. 5. An experimental system for consistency processing of multi-scale vector toponymic data is developed, and the feasibility of each model algorithm is demonstrated. The functional modules of the system are introduced, including attribute query, remote word processing and place name matching update.
【学位授予单位】：解放军信息工程大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：P208;P281
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