Currently, the digital transformation is becoming increasingly prevalent across numerous industries and their business models, driven by significant advancements in Big Data and Machine Learning technologies. These technologies enhance the ability to leverage data for decision-making processes that closely mimic human reasoning. The human resources sector, in particular, benefits from this shift, especially in the crucial task of matching job openings with suitable candidates—a key factor in organizational success. Despite these developments, the potential benefits of employing description logic-based methods often remain underutilized. This paper provides a comprehensive overview of how knowledge bases structured as ontologies are being implemented in the human resources industry.