The goal of the paper is to analyse the relevance of the proposed transformation from business vocabularies and business rules, based on Semantics of Business Vocabulary and Business Rules (SBVR), to the corresponding OWL 2 ontologies. The transformation was aimed to be model driven, lossless and reversible; adaptable to English, Lithuanian and other similar natural languages; covering transformable SBVR concepts and as much as possible OWL 2 concepts, especially those that are important for inference, and supporting the consistency and normalization of resulting ontologies. The paper presents a detailed comparison of the proposed solution with the most advanced, to our knowledge, related works and the experimental investigation of the implemented transformation prototype with nine SBVR business vocabularies and business rule sets with regards to the defined desirable criteria.