When you search for information, read the news,
scroll through short videos, or shop,
every piece of content that moves you may be influenced by the role of a knowledge graph.
What Is a Knowledge Graph
A knowledge graph is a graph-based data structure that is essentially a semantic network. It displays complex knowledge domains through data mining, information processing, knowledge measurement, and graphical representation, revealing the dynamic development patterns of knowledge domains and providing practical, valuable references.
Knowledge Graph and Artificial Intelligence
In today’s era where new concepts are overwhelming, 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 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 Q&A, enabling artificial intelligence to possess cognitive and logical abilities, thus achieving applications in intelligent analysis, intelligent search, and human-computer interaction, becoming the 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.
Ling Xia, a senior consultant at the China Electronics Society, has analyzed that with the development and application of artificial intelligence technology, knowledge graphs, as one of the key technologies, have been widely applied in many industries and fields, such as intelligent search, intelligent Q&A, personalized recommendations, and human-computer interaction dialogue systems.
Source: Internet Information Qinghai