Using Statistical Similarity to Identify Corresponding Attributes between Heterogeneous Spatial Databases

摘要：

One step in integrating heterogeneous database systems is matching equivalent attributes: Determine which fields in two databases refer to same real world entity character. In this paper, we present a methodology based on instance statistic similarity for identifying corresponding attributes in heterogonous spatial databases which has three basic steps. In first step, the corresponding of the same entities in heterogeneous spatial datasets is built by means of geometrical matching. In second step, attribute similarity, which is expressed by a value between 0 and 1, is computed according to attributes values of the same entity. We design different similarity compute models for different land of attributes. At last, corresponding attributes are identified by means of comparing attribute similarity value with the predefined threshold. An experimental result is presented which shows the effectiveness and precision of this approach.

作者: WANG Su-ling XU Jun ZENG Qi

作者单位: School of Resource and Environment Engineering, Henan Polytechnic University, Jiaozuo 454000, China School of Economy and Management, Henan Polytechnic University, Jiaozuo 454000, China

会议类型: 国际会议

会议名称: 2006 Asia-Pacific Services Computing Conference(IEEE亚太地区服务计算会议)

会议地点: 广州

会议语种:英文

页码: 194-199

在线出版日期: 2006-12-12（万方平台首次上网日期，不代表论文的发表时间）