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Despite the critical importance of semantic interoperability between heterogeneous databases, current approaches have not been sufficiently effective and comprehensive. We propose an ontology-based solution, which use two kinds of ontologies called schema-level conflict ontology and data-level conflict ontology (SLCO and DLCO). SLCO and DLCO are two ontologies for detecting and resolving schema and data-level semantic conflicts respectively, which are more useful and effective than existing ontology-based approach. We show an algorithm which includes two main steps: first, use SLCO to detecting and resolving schema-level conflicts, and then use DLCO to detecting and resolving data-level conflicts. In addition, we present evaluation results to show that our solution can be successfully and effectively used to automate the process of identifying and resolving semantic conflicts.