Research on Column Concept Vector Based Web Table Matching

摘要：

　　The Web consists of a huge number of structured data in the form of tables, which makes automatically integrating information from those tables of interest to ordinary users possible.A key problem of web table integration is the discovery of correspondences between web table columns.Most of traditional schema matching techniques cant work well because of the lack of schema information and the small number of instance in the web tables.This paper presents a method of web table matching which is based on column concept vector.Column Heading Matcher and Instance Matcher are employed to enhance the matching accuracy.A set of experiments are applied to real-world web tables and the results demonstrate that our method has higher precision and accuracy.

关键词： web table web table matching column concept vector Knowledge Base

作者: Chao Chen Yue Zhao

作者单位: College of Information Science and Engineering Northeastern University Shenyang, China

会议类型: 国际会议

会议名称: The 12th Web Information System and Application Conference第十二届全国Web信息系统及其应用学术会议(WISA2015)、全国第十次语义Web 与本体论学术研讨会(SWON2015)、全国第九次电子政务技术及应用学术研讨会(EGTA2015)

会议地点: 济南

会议语种:英文

页码: 165-168

在线出版日期: 2015-09-11（万方平台首次上网日期，不代表论文的发表时间）