What Is a Knowledge Graph? Main Applications in Various Fields

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

In today’s world, where various new concepts are flooding in, the knowledge graph is arguably the concept closest to artificial intelligence. It is widely believed in the industry that the concept of the knowledge graph was formally proposed by Google in 2012, primarily to support the next generation of search and online advertising. Since then, this technology has rapidly gained popularity, bringing vitality to areas such as internet semantic search and intelligent Q&A, enabling artificial intelligence to possess cognitive and logical abilities, thereby achieving applications in intelligent analysis, intelligent search, and human-computer interaction. It has become the infrastructure for knowledge-driven intelligent applications on the internet. Together with big data and deep learning, the knowledge graph has become one of the core driving forces behind the development of the internet and artificial intelligence.

Ling Xia, a senior consultant at the China Electronics Society, has analyzed 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 Q&A, personalized recommendations, and human-computer interaction dialogue systems.