An Approach to Automatical Semantic Analysis of Web Query Interfaces

摘要：

An increasing number of data emerging in Web brings difficulties to discovering and applying the information hiding on the deep Web. As the interaction interface between deep Web and outside, semantic of web query interface (WQI) needs to be analyzed in an accurate way. Most of the existing works merely deal with the single element. This paper proposes an automatic approach to analyze semantic of WQI by taking WQI as a whole of specific domain, using existed knowledge to construct match. And the algorithm verification is given by experiments of TEL-8 dataset in UIUC. Moreover, we present the optimization algorithm to improve the performance.

关键词： deep Web semantic analysis knowledge base bipartite matching

作者: Honghao Liang Zhiqing Shao Xiaoxing Sun

作者单位: Department of Computer Science and Engineering East China University of Science and Technology, Shanghai 200237, China

会议类型: 国际会议

会议名称: 2011 International Conference on Information and Computer Networks(ICICN 2011)(2011年信息与计算机网络国际会议)

会议地点: 贵阳

会议语种:英文

页码: 176-180

在线出版日期: 2011-01-26（万方平台首次上网日期，不代表论文的发表时间）