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STUDY ON NATIVE XML DATABASE BASED GML STORAGE MODEL

机译:基于原生XML数据库的GML存储模型的研究

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As a mature spatial interoperability specification of OGC, GML rapidly plays an important role in a large number of GIS research and application domains, such as spatial data modelling, transmission and exchanging, integration and sharing, because of its advantages of opening and self-description format system, rich spatial data expression technology, flexible application schema and so on. However, the complexity of GML specification leads to bulkiness of GML data files, which limits extent of GML data sharing. Furthermore, its non-structural data model goes against its storage by commercial relational database, which ultimately result in low performance of GML application and destroy abundant semantic of GML data. Thus, appropriate GML storage approach would improve extend and depth of GML application.By analogy approach, this paper study on storage and manage model of XML data, analyze current status of GML storage method. Combining XML database with characteristic of GML spatial data, create GML storage mapping mechanism based on feature and storage granularity, form GML to Native XML Database Storage Model (G2NXDBM) consisted of GML file segment, GML schema file and GML storage log file. On the basics of JAXP (Java API for XML Processing) program API and open source code JTS (Java Topology Suite), the author developed G2NXDBMs prototype system which include schema mapping constructor and file storage tools depending on Ipedo native database by IPedo Inc.USA. To test the efficiency of GML query, the author selects 5 groups of test data with the same size. The experiment result demonstrates that although the storage space of G2NXDBMs is larger than GML file, it has more advantages of query efficiency, support of XML technology and data management than GML file and relational database storage, it also testify the validity and practicability of G2NXDBM.
机译:作为OGC的成熟的空间互操作性规范,GML由于具有开放性和自描述性的优点,因此在众多GIS研究和应用领域(例如空间数据建模,传输和交换,集成和共享)中迅速发挥重要作用。格式系统,丰富的空间数据表达技术,灵活的应用方案等。但是,GML规范的复杂性导致GML数据文件的庞大,从而限制了GML数据共享的程度。此外,其非结构化数据模型与商业关系数据库的存储背道而驰,最终导致GML应用程序性能低下,并破坏了GML数据的丰富语义。因此,适当的GML存储方法将改善GML应用的扩展性和深度。通过类比方法,本文研究XML数据的存储和管理模型,分析GML存储方法的现状。将XML数据库与GML空间数据的特征相结合,基于特征和存储粒度创建GML存储映射机制,从GML到由GML文件段,GML模式文件和GML存储日志文件组成的本机XML数据库存储模型(G2NXDBM)。基于JAXP(用于XML处理的Java API)程序API和开放源代码JTS(Java拓扑套件)的基础,作者开发了G2NXDBMs原型系统,该系统包括模式映射构造函数和文件存储工具(取决于IPedo Inc.USA的Ipedo本机数据库)。 。为了测试GML查询的效率,作者选择了5组大小相同的测试数据。实验结果表明,尽管G2NXDBM的存储空间比GML文件大,但与GML文件和关系数据库存储相比,它具有查询效率高,支持XML技术和数据管理的优势,也证明了G2NXDBM的有效性和实用性。

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