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Integrated Storage and Querying of Spatially Varying Data Quality Information in a Relational Spatial Database

机译:关系空间数据库中空间变化数据质量信息的集成存储和查询

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摘要

This article investigates a new, integrated technique for storing and retrieving spatially varying data quality information in a relational spatial database. Rather than storing global data quality statements, the system enables data quality information to be referenced to a spatial framework, individual spatial objects, or even parts of spatial objects. The integrated model, called as RDBMS for Spatial Variation in Quality (RSVQ), allows flexible storage of spatially varying data quality information, and seamless querying irrespective of the underlying storage model. RSVQ is founded on a formal model of relational databases, defining a new derived, polymorphic query operator ( ) to join quality data with spatial data. The ( ) operator is implemented in an extension to SQL as a new WITHQUALITY keyword. A performance evaluation of RSVQ was conducted, using an Oracle Spatial database and a case study of cadastral data for parts of Victoria, Australia. The results of this evaluation demonstrated that the system is practical and efficient for a wide range of queries, as well as indicating the performance trade-offs associated with the different data quality storage models. Using the integrated RSVQ approach provides the potential for a single, consistent, database engine for a wide range of existing and proposed spatial data quality management systems.
机译:本文研究了一种新的集成技术,用于在关系空间数据库中存储和检索空间变化的数据质量信息。该系统无需存储全局数据质量声明,而是使数据质量信息可以引用到空间框架,单个空间对象,甚至空间对象的一部分。称为RDBMS的质量空间变化(RSVQ)的集成模型允许灵活存储空间变化的数据质量信息,并且无论基础存储模型如何,都可以进行无缝查询。 RSVQ建立在关系数据库的正式模型上,它定义了一个新的派生的多态查询运算符(),以将质量数据与空间数据结合在一起。 ()运算符在SQL扩展中作为新的WITHQUALITY关键字实现。使用Oracle Spatial数据库和澳大利亚维多利亚州部分地区的地籍数据案例研究,对RSVQ进行了性能评估。评估结果表明,该系统对于各种查询都是实用且高效的,并且表明了与不同数据质量存储模型相关的性能折衷。使用集成的RSVQ方法可为广泛的现有和建议的空间数据质量管理系统提供单一,一致的数据库引擎。

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