A knowledge graph is a knowledge base that uses a graph-structured data model or topology to integrate data. A knowledge graph is made up of three main components: nodes, edges, and labels. Knowledge graphs have applications in industries, such as retail, entertainment, healthcare, finance etc. Recent surge in the use of knowledge graphs is driven because of the confluence of three different advances: data linking and sharing over the web progress in in NLP and vision to extract relations from texts and images. Global semantic knowledge graphing market was valued at $1054.6 million in 2019 & is anticipated to grow at a CAGR of 14% over the forecast period to reach $3,000 million in 2027.
