地理本体数据转换及融合方法研究

发布时间：2018-01-23 13:25

本文关键词： 地理空间数据库数据转换地理本体旅游本体本体融合　出处：《武汉工程大学》2016年硕士论文　论文类型：学位论文

【摘要】：地理空间数据库(GDB)为海量空间数据存储管理提供了优良的技术支撑。但是GDB中的数据结构存在差异且不具有能被计算机所理解的语义知识,异构的GIS应用之间的互操作的需求日益增长且无法解决。随着GIS领域中本体概念的渗入,在语义和知识层次上能够借助地理本体描述系统概念模型,地理本体在地理知识表示、异构信息处理、信息检索等方面得到了广泛的应用,可以为不同来源的地理数据提供上下文语义,解决因语义关联的不足而产生的知识异构性问题、达到GIS数据的信息共享和互操作的目的。目前的地理本体虽然具有关于地理领域的知识,但缺乏旅游领域的知识,无法实现两个不同领域信息的共享,如何将GDB中的数据转换为地理本体,如何将地理本体与旅游领域本体进行融合成为地理信息共享研究领域的重要问题。本文提出一种基于模型的地理本体数据转换及融合方法。首先,提出了三种将GDB中的信息转换为地理本体的方法,依次是GDAL(地理空间数据抽象库)+XML+XSLT(可扩展样式表转换语言)+OWL(文件)方法、GDAL+Jena+OWL(文件)方法和GDAL+Jena+RDF(TDB)方法;然后,基于转换得到的地理本体提出了一种基于特征词匹配的方法实现地理本体与旅游本体的融合。为了验证本文提出的方法的正确性和可行性,以海南省1:50000的GDB中地理数据为例实现了地理信息转换,基于转换得到的地理本体文件,构建了一个海南省旅游本体,基于特征词匹配的方法做了海南省旅游本体与地理本体的融合实验。本文的实验结果表明,该融合方法可以跨领域实现地理本体与旅游本体的信息共享。
[Abstract]:Geo-spatial database (GDB) provides a good technical support for the massive spatial data storage management, but the data structure in GDB is different and does not have the semantic knowledge that can be understood by the computer. The requirement of interoperability between heterogeneous GIS applications is increasing and can not be solved. With the infiltration of ontology concepts in the GIS domain, the concept model of geographical ontology description system can be used in semantic and knowledge levels. Geographical ontology has been widely used in geographic knowledge representation, heterogeneous information processing, information retrieval and so on, which can provide context semantics for geographic data from different sources. To solve the problem of knowledge heterogeneity caused by the lack of semantic association to achieve the purpose of information sharing and interoperability of GIS data. However, the lack of knowledge in the field of tourism, can not achieve the two different fields of information sharing, how to transform the data in GDB into geographical ontology. How to integrate geographical ontology and tourism domain ontology becomes an important problem in the field of geographic information sharing. In this paper, a model-based method for data conversion and fusion of geographical ontology is proposed. In this paper, three methods of converting information from GDB to geographical ontology are proposed. This is followed by the GDAL (Geospatial data Abstract Library) XML XSLT (Extensible style sheet Transformation language) owl (File) method. GDAL Jena owl (file) method and GDAL Jena RDF TDB method; Then, based on the transformation of geographical ontology, a method based on feature word matching is proposed to realize the integration of geographical ontology and tourism ontology, in order to verify the correctness and feasibility of the method proposed in this paper. Taking the geographic data of Hainan Province 1: 50000 GDB as an example, the geographic information conversion is realized. Based on the converted geographic ontology file, a Hainan tourism ontology is constructed. Based on the method of feature word matching, the experiment of Hainan Province's tourism ontology and geographical ontology fusion is carried out. The experimental results show that this fusion method can realize the information sharing between geographical ontology and tourism ontology.
【学位授予单位】：武汉工程大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：P208;TP311.13

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