Lecture
This lecture explores the concept of Knowledge Graphs, which are versatile tools used in various fields such as Artificial Intelligence and Neuroscience. It delves into the structure, applications, and benefits of Knowledge Graphs, showcasing their role in data integration, semantic understanding, and information retrieval. The presentation also highlights real-world examples of Knowledge Graphs, including open knowledge graphs like Wikidata and DBpedia, and their significance in managing complex and interconnected data. Moreover, the lecture discusses the use of Knowledge Graph Schema and ontologies in neuroscience data, emphasizing their role in capturing contextual information and facilitating data interpretation. Overall, the session provides insights into how Knowledge Graphs revolutionize data management and enhance knowledge representation.