Knowledge Driven

Knowledge-driven approaches in various fields aim to enhance computational systems by integrating external knowledge sources, improving performance and interpretability beyond purely data-driven methods. Current research focuses on integrating knowledge graphs and large language models into diverse applications, including natural language processing, autonomous driving, and biomedical data analysis, often employing techniques like ontology-based reasoning and knowledge-enhanced neural networks. This integration significantly impacts fields by enabling more robust, accurate, and explainable systems, particularly in complex domains with limited or noisy data.