基于结果类型分组的XML关键字查询

XML keyword search based on result type grouping

提出了基于结果类型分组的XML(extensible markup language,可扩展标志语言)关键字查询算法。采用熵值赋权法确定结果类型,继而对XML文档节点虚拟分组,并在虚拟组的基础上给出了相应的查询算法,不仅确保了结果信息的完整,避免了丢失某些有意义结果和返回无意义结果的现象。实验结果表明,所提出算法与SLCA、MLCEA相比,在查询质量、效率及稳定性上有一定提高。

This paper proposed XML Keyword search algorithm based on the result type of group.Entropy weighting method was used to determine the result type,then the XML document nodes were grouped virtually;at last,the corresponding search algorithm was given on the basis of virtual groups.This ensured the results information integrity,avoids losing potential significant results and the meaningless results.The experiment shows that the proposed algorithm,compared to SLCA and MLCEA,has a certain increase on the query quality,efficiency and stability.