多维连续不确定XML数据模型及聚集查询算法

MULTI-DIMENSIONAL CONTINUOUS UNCERTAIN XML DATA MODEL AND AGGREGATION QUERY ALGORITHM

提出一种基于p-文档的连续不确定XML数据模型,支持多维连续随机变量的不确定XML数据表示。提出高效的XML聚集算法,既支持XPath表达式,又能够根据不同类型的连续函数选择合适的聚集方法。实验结果表明,该算法能够有效地处理支持多维连续不确定XML数据的聚集查询,并且具有很好的可扩展性。

We present a p-document-based continuous uncertain XML data model. It supports the representation of uncertain XML data with multi-dimensional continuous random variables. We also present an efficient XML aggregation algorithm. It supports the XPath expression and selects appropriate aggregation method according to different types of continuous function. Experimental results show that this algorithm can effectively process the aggregation query supporting the multi-dimensional continuous XML data, and has very good scalability.