The term knowledge graph visualisation is primarily found in the fields of Artificial Intelligence, Big Data and Smart Data, as well as Digital Transformation. <\/p>\n
A visualisation of knowledge graphs means that complex connections and relationships between different data are graphically represented. A knowledge graph is like a network: different pieces of information (for example, people, companies or terms) are represented as so-called nodes, which are connected to each other by lines (edges) if they are in a relationship with each other.<\/p>\n
Imagine you want to find out how different departments in your company work together. With a knowledge graph visualisation, you could see which teams communicate often and where there's less exchange. This helps to quickly recognise connections and make improvements. <\/p>\n
Especially with large volumes of data, as is generated in modern companies, visualising knowledge graphs enables a quick overview and supports well-founded decisions. Visualisation tools help to make even hidden patterns visible that are easily overlooked in traditional tables.<\/p>","protected":false},"excerpt":{"rendered":"