Ontology-Driven Approach for Knowledge Discovery in Academic Databases

Knowledge discovery in academic databases is vital in facilitating informed decision-making and deeper insights within the academic domain. However, traditional approaches often need to be revised regarding the accuracy, interpretability, and usability of the discovered knowledge. This paper proposes an ontology-driven approach to knowledge discovery in academic databases. By leveraging ontologies, which provide a formal representation of domain-specific knowledge, this approach enhances the precision and context awareness of the discovery process. Integrating ontologies with academic databases establishes a semantic link, enabling more accurate and interpretable queries. Additionally, ontology enriches the knowledge discovery process, facilitating the identification of hidden patterns, relationships, and insights in the data. The ontology’s concepts and relationships represent the discovered knowledge, allowing for better interpretation and understanding. In addition, visualization techniques can be employed to enhance the usability and interpretability of the knowledge. Through case studies and examples, we demonstrate the effectiveness of the ontology-driven approach in uncovering meaningful knowledge in academic databases. This approach has the potential to support evidence-based decision-making, foster collaborations, and contribute to advancements in the academic field.