Knowledge graphs are primarily at home in the fields of Big Data and Smart Data, as well as Artificial Intelligence. They help companies to present and link large amounts of data in an understandable and clear manner.<\/p>\n
A knowledge graph is a type of digital knowledge network. Data points, such as people, places, companies, or products, are interconnected to create a large picture of how everything is related. This helps to recognise connections faster and search for information more precisely.<\/p>\n
A well-known example of knowledge graphs is Google Search: when you search for the name of a famous person, you'll see a box to the right of the search results with lots of information \u2013 such as date of birth, profession, or family. This data comes from the Google Knowledge Graph, which collects information from many sources and processes it in a way that makes it easy to understand.<\/p>\n
For businesses, a knowledge graph means they can better utilise internal and external data to optimise business processes or better understand customer needs. In summary, knowledge graphs are therefore a tool for extracting knowledge from data and presenting it clearly.<\/p>","protected":false},"excerpt":{"rendered":"