This paper presents an algorithm to dispatch the operations of the query tree, parallelize queries, and shorten the query time.
针对这种情况，本文提出一种对数据库查询树的分配算法，使查询并行化，缩短查询的响应时间。
The article designs a kind of SPDB organization based on key tree and corresponding query algorithm, which makes average query length shorten a lot.
该文设计了一种基于键树思想的SPDB组织方式和相应的查找算法，使平均查找长度大为缩短。
We define a query tree to connect the user input with semantic query language SPARQL and study the algorithm to converse the query tree to SPARQL.
并设计了查询树这一数据结构用来连接用户输入和SPARQL语义查询语言，且研究了查询树和SPARQL的转换算法。
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