The term “Automated Knowledge Graph Creation” primarily belongs to the fields of Artificial Intelligence, Big Data and Smart Data, and Digital Transformation. It describes a technical process with which information and contexts in large amounts of data are automatically recognised and structured as a so-called knowledge graph.
A knowledge graph is like a giant map for knowledge: different concepts (e.g. people, places, products) are represented as points, and lines show how these concepts are connected. With the support of automated systems – often based on artificial intelligence – such graphs can be built from texts, databases or the internet without much manual work.
A clear example: In a large online shop, thousands of new products are added daily. Through automated knowledge graph creation, the system can independently recognise that product A belongs to the category „shoes“ and is often purchased together with product B („socks“). This helps the shop to make better product recommendations or to understand relationships within the product range.
Automated knowledge graph creation therefore makes it easier for companies to extract meaningful knowledge from complex data and use it in a targeted way.
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