Despite the fact that business process (BP) modeling has its long-lasting traditions in various areas of application, this discipline remains in the constant process of improvement and issue-solving. The possibilities of synergy among business process models and business vocabularies and rules are analyzed in this paper. We emphasize the existing gap between business process modeling and specification of business vocabularies and rules. Such a situation may lead to misunderstandings while reading and interpreting business models and also miscommunication issues within and among the organizations. Some of these issues could be resolved by realizing the integration of BP modeling standards with business vocabularies and rules. The paper presents some argumentation to back such statements. Later, basic principles of the approach for BPMN (Business Process Model and Notation) Business process model integration with SBVR (Semantics of Business Vocabulary and Business Rules) business vocabulary & rules are presented and briefly described in this paper.

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The synchronization of the business processes and business vocabulary allows to increase the effectiveness in the business process management, eliminate the inconsistencies in the models and enables users to represent real world processes adequately. The proposed method allows synchronizing Business Process Model and Notation process models and Semantic Business Vocabulary and Rules business vocabulary in an automatic manner. The extraction of the elements of the business vocabulary is based on the Stanford POS Tagger method which is adapted to the peculiarity of the business process models. The paper represents the main principles of the synchronization method and the results of its evaluation performing the practical experiment. The defined quality criteria (inner compatibility of business process model, automated extraction of business vocabulary, completeness of obtained business vocabulary, validity of obtained business vocabulary and adequacy to domain) reveal the main advantages of the proposed method.