Complex schema matching approach based on informational context of data sources
Ying Li · Computer Engineering and Applications Journal · 2010
The elaboration of semantic matching between heterogeneous sources is a fundamental step in the design of data sharing applications.A new schema matching approach,context-based complex schema matching is introduced.It takes into account data sources'context to complete the complex concepts,and effectively reduces large spaces of possible matches.First,it extracts the complex concepts from the data sources' informational context and adds the complex concepts to the data sources,then computes the data sources'concept matching with matching module.Experiment shows this approach can not only avoid searching large scale of possible matches,but improve the recall and precision of schema matching.