Most of solutions provided by current ontology matching tools lack flexibility and extensibility namely for adding new matchers and dealing with users' requirements. In this paper, we present a system YAM++, which supports self-configuration, flexibility and extensibility in combining individual matchers. Moreover, it is more human-centered approach since it allows users to express their preference between precision and recall. A set of experiments over OAEI benchmark dataset demonstrate its effectiveness and efficiency in terms of quality of matching and flexibility of the system.