Google popularized the term "knowledge graph" in this 2012 blog post. Since then, there has been a massive momentum around ...

Knowledge graphs: The link between data and meaning While Google popularized the term “knowledge graph” in 2012, the concept of representing knowledge as interconnected information has roots ...

Data Quality and Consistency: Ensuring accuracy and consistency in the data is crucial for the reliability of a knowledge graph. Scalability: As data volume grows, the knowledge graph must ...

The journey from unstructured data (texts, images, etc.) to a fully structured knowledge graph—rich in facts, logical constraints, and recursive rules—is complex and challenging, but the ...

An essential component for building more trustworthy AI lies in creating a more solid data foundation on top of graph databases, knowledge graphs, and vector databases. Each element plays a ...