353 - An introduction to knowledge graphs

Introduction to Knowledge Graphs: Concepts, Applications, and Metrics In this tutorial, I introduce the fundamentals of graphs and their role in representing relationships between objects. I discuss the differences between regular graphs and knowledge graphs, emphasizing the rich semantic relationships and domain-specific information that knowledge graphs provide. This video covers: What are Graphs? Understanding nodes, edges, and their real-world applications (e.g., social networks, road maps). Regular vs. Knowledge Graphs: Key distinctions, including semantic relationships, attributes, and diverse connection types. Why Study Graphs? Explore their importance for solving real-world problems such as route planning, recommendation systems, and social network analysis. Graph Metrics: Learn about centrality, community detection, and path analysis to uncover meaningful insights from networks. Tools for Knowledge Graphs: An introduction to representing and saving knowledge graphs, with a quick note on NetworkX—a Python library explored further in the next tutorial. Join me to learn how graphs serve as a foundation for modern AI, machine learning, and data visualization.