分布式地理空间数据服务集成技术研究
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摘要
以Web服务为基础的地理空间信息服务是在Web上有效集成空间数据和信息的机制。近年来,该方面得到了广泛关注。当前的研究主要集中在集成框架、服务描述/发现/注册机制、集成建模与运行环境等方面,而在基于服务的空间数据查询,尤其是分布式空间数据查询方面的研究还比较缺乏。空间数据是空间信息系统的核心资源,对面向服务体系结构下的空间数据集成技术展开研究具有重要意义。
论文从空间数据库和信息检索的角度研究了Web环境下地理空间数据服务集成和分布式查询问题。
首先,论文构造了面向服务的分布式空间数据集成机制,建立了一个集成逻辑框架,提出了空间数据服务的数据源模式和集成模式构造方法。
其次,论文研究了面向空间数据服务集成的全局查询重构问题,在关系代数等价变换基础上提出了空间数据服务全局查询重构和优化方法,并提出了面向分布式空间区域查询的副本处理方法和资源选择策略。所提方法考虑了空间数据特点,能够有效减少面向服务的空间区域查询的整体代价。
第三,论文研究了面向服务的分布式空间连接查询问题,提出了两种分布式空间连接查询处理策略:基于半连接索引的策略通过预先计算分布空间关系之间的半连接和对实体化计算结果,有效降低了分布式空间连接查询中整体代价;基于递归区域划分的策略将连接区域递归划分为子区域,并自适应地选择子区域之间的连接策略,适用于在不同数据分布情况下最小化网络数据传输量。
最后,论文研究了空间数据服务发现问题,基于信息检索理论,提出了基于集合模型和向量模型的服务发现方法,提高了服务发现的查全率和查准率。
论文研究成果已在若干原型系统和应用系统中得到验证。作者希望上述新的研究视角能够显露出该领域中还未得到足够关注的重要方面。
Integrating spatial information via web-based geo-spatial information services is an active area of research in information integration field and has been gotton much attention recently. The research efforts have mainly concentrated on integration architecture, service description/discovery/registry mechanisms, integration models and implementation environment. However, few works have been conducted in the area of service-based spatial query, especially of the distributed spatial queries. Spatial data is in the core of spatial information systems, thus, it is very important to study the spatial data integration techniques in service oriented architecture.
This dissertation addresses the geo-spatial data service integration and distributed spatial query issues under web environment from the points of spatial database and information retrieval.
First, the dissertation introduces the mechanism and a logical framework of the service oriented spatial data integration, then presents the data source schema and integrated schema based on relational model. The translation procedure from the source schema to the integrated schema is discussed.
Second, the dissertation addresses the global query rewriting issues of the service oriented spatial data integration. Query rewriting and optimization methods are presented based on equivalent transformation of relational operators. We study the data replication issues of spatial data services and presents strategies to deal with data fragmentation and service selection. The proposed strategies can effectively reduce the overall cost of spatial range queries.
Third, the dissertation specifies the spatial join query processing based on service oriented architecture. Two strategies are proposed. The first one, called the SSJI strategy, can efficiently reduce the overall costs by precomputing and materializing the spatial semi join results. The second one partitions the join space recursively and chooses the join strategy for each pair of blocks dynamically, thus minimizes the transmission cost for different data distribution.
论文从空间数据库和信息检索的角度研究了Web环境下地理空间数据服务集成和分布式查询问题。
首先,论文构造了面向服务的分布式空间数据集成机制,建立了一个集成逻辑框架,提出了空间数据服务的数据源模式和集成模式构造方法。
其次,论文研究了面向空间数据服务集成的全局查询重构问题,在关系代数等价变换基础上提出了空间数据服务全局查询重构和优化方法,并提出了面向分布式空间区域查询的副本处理方法和资源选择策略。所提方法考虑了空间数据特点,能够有效减少面向服务的空间区域查询的整体代价。
第三,论文研究了面向服务的分布式空间连接查询问题,提出了两种分布式空间连接查询处理策略:基于半连接索引的策略通过预先计算分布空间关系之间的半连接和对实体化计算结果,有效降低了分布式空间连接查询中整体代价;基于递归区域划分的策略将连接区域递归划分为子区域,并自适应地选择子区域之间的连接策略,适用于在不同数据分布情况下最小化网络数据传输量。
最后,论文研究了空间数据服务发现问题,基于信息检索理论,提出了基于集合模型和向量模型的服务发现方法,提高了服务发现的查全率和查准率。
论文研究成果已在若干原型系统和应用系统中得到验证。作者希望上述新的研究视角能够显露出该领域中还未得到足够关注的重要方面。
Integrating spatial information via web-based geo-spatial information services is an active area of research in information integration field and has been gotton much attention recently. The research efforts have mainly concentrated on integration architecture, service description/discovery/registry mechanisms, integration models and implementation environment. However, few works have been conducted in the area of service-based spatial query, especially of the distributed spatial queries. Spatial data is in the core of spatial information systems, thus, it is very important to study the spatial data integration techniques in service oriented architecture.
This dissertation addresses the geo-spatial data service integration and distributed spatial query issues under web environment from the points of spatial database and information retrieval.
First, the dissertation introduces the mechanism and a logical framework of the service oriented spatial data integration, then presents the data source schema and integrated schema based on relational model. The translation procedure from the source schema to the integrated schema is discussed.
Second, the dissertation addresses the global query rewriting issues of the service oriented spatial data integration. Query rewriting and optimization methods are presented based on equivalent transformation of relational operators. We study the data replication issues of spatial data services and presents strategies to deal with data fragmentation and service selection. The proposed strategies can effectively reduce the overall cost of spatial range queries.
Third, the dissertation specifies the spatial join query processing based on service oriented architecture. Two strategies are proposed. The first one, called the SSJI strategy, can efficiently reduce the overall costs by precomputing and materializing the spatial semi join results. The second one partitions the join space recursively and chooses the join strategy for each pair of blocks dynamically, thus minimizes the transmission cost for different data distribution.
引文
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