Schema Matching is one of key steps in GIS client database updating. In order to find semantically similar elements between schemas of master database and client database, an approach based on instance statistical similarity is presented. Different instance comparing technologies, such as correlation analysis, edit distance calculation, are used to determine the similarity of schema elements. Unlike other schema matching methods that only focus on attribute-level matching, our method adopts a hierarchical strategy to determine mapping relationship form two-level schema elements including feature classes and attributes. Experimental result is also presented to demonstrate the viability of this approach.

Date Published: 28 October 2006
PDF: 10 pages
Proc. SPIE 6420, Geoinformatics 2006: Geospatial Information Science, 642017 (28 October 2006); doi: 10.1117/12.712963

Published in SPIE Proceedings Vol. 6420:
Geoinformatics 2006: Geospatial Information Science
Jianya Gong; Jingxiong Zhang, Editor(s)