Knowledge graphs is a research area and methodological approach focused on the structured representation of information. This involves modeling real-world entities and their interconnections in a graph format. The concept investigates methods for capturing semantic meaning through nodes representing entities and edges representing relationships, often leveraging formal ontologies or schemas. Key characteristics include their ability to integrate diverse data sources, facilitate complex querying, and support automated reasoning. Their significance lies in enabling advanced applications such as semantic search, recommendation systems, and knowledge-based artificial intelligence.