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KIROI - Artificial Intelligence Return on Invest: The AI strategy for decision-makers and managers

KIROI - Artificial Intelligence Return on Invest: The AI strategy for decision-makers and managers

Start » Visualisation of Knowledge Graphs (Glossary)
18 November 2024

Visualisation of Knowledge Graphs (Glossary)

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The term knowledge graph visualisation is primarily found in the fields of Artificial Intelligence, Big Data and Smart Data, as well as Digital Transformation.

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.

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.

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.

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