Researchers have gained interest in the field of bioinformatics due to the recent advances of sequencing technology and AI. However, the interdisciplinary nature of bioinformatics makes entry into the field difficult. Lack of integrated educational resources causes cognitive overload, making it difficult for individuals to determine what they should study. In addition, the diverse backgrounds of the learners further complicate the learning process. In this research, we propose a learning path recommendation system using ontology and knowledge graph. By considering multiple personalization parameters, the system recommends learning paths that meet the needs of each individual.