In the digital transformation of enterprises, the standardization and semanticization of business processes are the key challenges. However, the current business rules modeling standard SBVR ( Semantics of Business Vocabulary and Business Rules ) is mainly targeted at business experts and can not be directly understood by computer systems. To address this issue, a method for converting SBVR into the OWL2 ( Web Ontology Language) based on the latest SBVR 2019 standard is proposed. First, the structural differences

between SBVR and OWL2 are analyzed, and corresponding mapping rules and conversion algorithms are designed. Second, an online SBVR-to-OWL2 conversion system is developed to achieve the semanticization of business processes in a standardized and extensible manner. Finally, the feasibility and practicality of the proposed method are validated through a case study in the petroleum industry's business processes, demonstrating its potential for promoting digital transformation in enterprises. This study provides an effective technical solution for the semanticization of business processes and knowledge sharing across systems.

enterprise digital transformation, business process, semantics of business vocabulary and business rules(SBVR), web ontology language(OWL2), formal mapping