基于XML Schema的Deep Web查询接口分类研究  

Research on Query Interface Classification of Deep Web Based on XML Schema

作　　者：苟和平[1] 景永霞[1] 吴多智[1] 

机构地区：[1]琼台师范高等专科学校信息技术系,海口571100

出　　处：《长春大学学报》2016年第4期13-18,共6页Journal of Changchun University

基　　金：海南省自然科学基金项目(20156241);海南省高等学校科学研究项目(Hnky2015-72);琼台师范高等专科学校科研项目(qtky201404)

摘　　要：Deep Web在线数据库蕴含大量的信息,但由于这些信息检索困难,利用率不高,本文提出一种基于XML Schema的查询接口分类方法,建立数据查询接口的XML Schema文档,通过各数据源名的语言学相似度实现查询接口的初次分类;根据查询接口标签属性,建立特征-接口向量空间模型实现查询接口向量化,再采用KNN算法进行二次分类,减少KNN算法分类带来的计算开销,提高Deep Web数据检索的效率。Deep Web online database contains a lot of information, but their utilization is not high because of the difficult information retrieval. A query interface classification method based on XML Schema is proposed. XML Schema document of the data query interface is established, which realizes the first classification through the linguistic similarity of data source name ; According to the label attrib- ute of query interface, a vector space model is established to realize the vectorization of query interface, then KNN algorithm is used for secondary classification, which reduces the computing cost brought by KNN classification algorithm, improving the efficiency of Deep Web data retrieval.

关 键 词：DEEP Web XML SCHEMA 查询接口 分类 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]