一种对象级的VCAS查询和评分策略

An Object-level Query and Scoring Strategy for VCAS

XML文档可以有多种查询方式,对于略知文档结构的用户可以使用模糊的内容和结构查询,即VCAS查询。提出了一种对象级的VCAS查询和评分策略,其特点是将XML文档看做是交叉的许多对象树,查询的匹配都是以对象树ISO或者对象树组IRO作为基本单位。这种方法使得VCAS的查询可以直接过滤掉许多没有意义的匹配结果,提高查询的效率。对现有的评分方式做了改进,挖掘了更多的内容约束来影响匹配结果的评分,更能接近用户的查询意图。实验证明了文中提出的查询和评分策略的有效性。

There are several ways to query the XML documents. For the users who have a smattering of the structure of the documents, can use the vague content and structure query, named VCAS query. In this paper, an approach for VCAS query and scoring based on an object level XML data model was proposed. The XML documents were regarded as many intersect object trees in the approach, and the mat ches of the query were ISO or 1RO. This approach could filter many meaningless matches and improves query efficiency. In this paper, the existing scoring methods were also improved. More content constraints were mined for scoring, and get more close to the user＇ s inten tion. The ex0edments demonstrate the effectiveness of the rooosed methods.