In a modern data catalog, data and analysis flow into a knowledge graph that traces the connections and relationships across your data, teams, and processes. The knowledge graph keeps data ...

Constructing knowledge graph (KG) is the basic condition to realize the application of knowledge graph such as semantic search and intelligent question and answer. In this paper, the principle of ...

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 ...

Ever since the introduction of the Google Knowledge Graph, a growing number of organizations have adopted this powerful technology to drive efficiency and effectiveness in their data management ...

The Enterprise Knowledge Graph concept strikes at the core of what every data-driven organization is trying to do: translate data assets into a competitive advantage unique to those assets and the ...

According to Gartner’s Top 10 Data and Analytics Trends for 2021, knowledge graphs are the foundation of modern data and analytics, with capabilities to enhance and improve user collaboration ...

In summary, knowledge graphs revolutionize how industries manage and leverage their data. Knowledge graphs significantly influence the finance, healthcare, e-commerce, and telecommunications ...

Constructing knowledge graph (KG) is the basic condition to realize the application of knowledge graph such as semantic search and intelligent question and answer. In this paper, the principle of ...