研究了图结构XML数据上子图查询处理,给出了一系列高效的处理算法.基于可达编码,首先提出基于哈希的结构连接算法(HGJoin)来处理图结构XML数据上的可达查询.然后,该算法被扩展来处理特殊的二分图查询.基于这些算法和所给出的代价模型,提出了一般DAG子图查询的处理算法和查询优化策略.这些算法经过简单修改即可有效地处理一般的子图查询.理论分析和实验结果表明,算法具有较高的效率.
Many challenges arise in subgraph query processing of graph-structured XML data. This paper studies the subgraph query processing of graph-structured XML data and proposes. A hash-based structural join algorithm, HGJoin to handle reachability queries on graph-structured XML data. Then, the algorithm is extended to process subgraph queries in form of bipartite graphs. Finally, based on these algorithms and cost model presented in this paper, a method to process subgraph queries in form of general DAGs is proposed. It is notable that all the algorithms above can be slightly modified to process subgraph queries in form of general graphs. Analysis and experiments show that all the algorithms have high performance.