该文还介绍了三种查询方法：空间选择查询、空间连接查询和最近邻居查询。
The paper presents three methods of spatial queries: spatial Select Query, spatial Joint Query, and Nearest Neighbor Query.
本文总结出空间索引系统应提供的三类空间查询：空间范围查询、最近邻居查询、空间连接查询。
We summarize that spatial index system should provides three kinds of spatial query, they are, spatial range query, nearest neighbor query, spatial join query.
QueryPath附带的例子展示了如何设置连接参数、对SPARQL 端点执行 SPARQL 查询以及解析复杂的、多名称空间的文档。
The examples that ship with QueryPath show how to set connection parameters, execute SPARQL queries against SPARQL endpoints, and parse complex, multi-namespaced documents.
哪些数据库操作(查询，更新，复杂的连接)在性能和资源的消耗(cups，网络，内存，存储空间)方面是最大的开销。
Which database operations (queries, changes, complex joins) are most costs in terms of performance and required resources (cpus, network, memory, storage)?
论文最后对超点模型和结点连接模型进行了存储空间、查询支持等方面的模拟实验与比较。
Simulation experiments on storage space and query support are processed on super-node model and node-link model in the last of this thesis.
空间多路连接是涉及多个空间关系的连接查询。
Multiway spatial join is the spatial join query which concern several spatial relations.
距离连接在空间数据库中有着广泛的应用，而距离连接的选择度估计是优化距离查询的基础。
Distance join is widely used in spatial database. Selectivity estimation for distance join is the basis of optimizing the query of the distance.
距离连接在空间数据库中有着广泛的应用，而距离连接的选择度估计是优化距离查询的基础。
Distance join is widely used in spatial database. Selectivity estimation for distance join is the basis of optimizing the query of the distance.
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