This paper focuses on the quality of match relatedness measurements among XML schemas. The Quality of Match QoM, that is used to distinguish the “goodness” of one match metrics, is extended to evaluate the complex QoM of two given schemata by providing a composite qualitative and quantitative analysis techniques. The introduced taxonomy of schema matches as a weight-based match model is extending the QoM model from a syntactic matching on the node level, to a model that detects complex matches by integrating it with the semantic technologies, such as ontologies. The new equations that calculate these weights are derived and proved throughout practical examples.