An Ontology-based Method for Heterogeneous Data Governance with MFI and MDR

Zhihong Du, Duo Xu, Danruo Huang, Yuren Hu, Keqing He, Chong Wang, Jian Wang, Hong-Yu Zhang, Wolfgang Mayer, Yucong Duan, Ying Wang, Zaiwen Feng

Abstract: Currently, data governance and integration in the fields are hindered by semantic ambiguity and syntactic inconsistencies among different sub domain data and models, making it difficult to use these valuable data for further application and research jointly. Therefore, it is necessary to unify and integrate existing metadata and meta-models more effectively for information resource sharing and interoperability in the field. This paper proposes an ontology-based approach with a hybrid ISO/IEC 11179 (MDR) and ISO/IEC 19763 (MFI) framework for data governance and integration. This framework takes a Global Ontology Model (GOM) constructed for the global domain as a bridge and basis for integrating and aligning heterogeneous sub domains. It extends MDR by adding ontology registration items to implement the mapping between the GOM and multiple subdomains, thereby promoting the semantic sharing of metadata between subdomains. In addition, the MFI-12 and MFI-10 are used to solve the model interoperability between different subdomains. A detailed case study is provided to illustrate the concrete registration process and demonstrate the validity of our method.