Knowledge graphs are particularly at home in the areas of big data, smart data and artificial intelligence. They help companies to visualise and link large volumes of data in a clear and comprehensible way.
A knowledge graph is a type of digital knowledge network. Data points, such as people, places, companies or products, are linked together to create a big picture of how everything is connected. This helps to recognise connections more quickly and to search for information in a more targeted manner.
A well-known example of knowledge graphs is Google search: If you search for the name of a famous person, you will see a field with lots of information to the right of the search results - such as date of birth, profession or family. This data comes from the Google Knowledge Graph, which collects information from many sources and organises it in such a way that it is easy to understand.
For companies, a knowledge graph means that they can make better use of internal and external data in order to optimise business processes or better understand customer needs. To summarise, knowledge graphs are a tool for extracting knowledge from data and presenting it clearly.
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