Abstract: At present, the need for high-quality and semantically rich data has become increasingly urgent as data-driven artificial intelligence is being applied in a wide and in-depth manner in a variety of fields. Data governance works in various fields focus on the governance of data models. However, both internationally and domestically, research on data semantic governance is still insufficient. In particular, there is a lack of systematic exploration of semantics from the underlying basic theory. Therefore, the essence of semantic organization and representation from the basic theory is revealed, and a conceptual system model of conceptual world is put forward. A nature characteristic conceptual semantic registration metamodel and a relational characteristic conceptual semantic registration metamodel is constracted based on the ISO/ IEC(International Organization for Standardization/ International Electrotechnical Commission) 11179 series of standards, achieving the registration and management of rich semantic knowledge. Finally, a metadata registration and governance system is designed and developed in the context of data governance in the field of oil and gas exploration and evaluation. The two types of semantic models based on the MDR(Metadata Registry) standard have been verified, reflecting their effectiveness in practical applications. 

Key words: data governance, metadata, system theory, conceptual theory, semiotics theory, semantic registration model