NAME SIMILARITY MEASURES FOR XML SCHEMA MATCHING

Schema matching plays a cenral role in identifying the semantic correspondences across shared-data applications, such as data integration etc. One of the great challenges in the field of XML schema matching is the definition, adoption, and utilization of element similarity measures. We classify these measures either as internal or external. The internal element measures are based on element features while external measures rely heavily on the element context. The element name is considered as the most important feature of XML schema elements as well as a vital source of semantic information for schema matching. Therefore, we aim in this study to concentrate on the name similarity measures as an initial step towards building efficient and effective matchers. We try to validate the effect of existing string functions and their combinations on schema matching performance. The experimental evaluation shows good and encourage results towards building robust schema matchers utilizing different schemas