What Is a Knowledge Graph? Main Applications in Various Fields

A knowledge graph is a graph-based data structure, essentially a semantic network, that displays complex knowledge domains through data mining, information processing, knowledge measurement, and graphical representation. It reveals the dynamic development patterns of knowledge domains and provides practical, valuable references.

In today’s world, where new concepts abound, the knowledge graph is arguably the concept closest to artificial intelligence. It is widely believed that the concept of the knowledge graph was first officially proposed by Google in 2012, primarily to support the next generation of search and online advertising. Since then, this technology has rapidly gained popularity, invigorating fields such as internet semantic search and intelligent question answering, enabling artificial intelligence to possess cognitive and logical capabilities, thereby achieving applications in intelligent analysis, intelligent search, and human-computer interaction. It has become the foundational infrastructure for knowledge-driven intelligent applications on the internet. Together with big data and deep learning, knowledge graphs have become one of the core driving forces behind the development of the internet and artificial intelligence.

A senior consultant at the China Electronics Society, Ling Xia, has written an analysis indicating that with the development and application of artificial intelligence technology, the knowledge graph, as one of the key technologies, has been widely applied in many industries and fields, such as intelligent search, intelligent question answering, personalized recommendations, and human-computer interaction dialogue systems.