The term "ontology-based learning" belongs to the fields of artificial intelligence, big data, smart data and digital transformation. In these fields, more and more emphasis is being placed on structuring knowledge in such a way that computers can better understand and utilise it.
In ontology-based learning, an "ontology" helps to organise information in such a way that it can be logically linked together. An ontology is like a structured directory that clearly defines terms and their relationships. This makes it easier for machines to recognise and learn connections correctly.
Imagine a company wants to use AI to analyse all internal emails in order to respond more quickly to customer queries. Using ontology-based learning, the software automatically recognises which terms belong together or how, for example, "complaint", "grievance" and "customer satisfaction" depend on each other in terms of content. In this way, the AI learns in a much more targeted way with the help of clearly defined structures and can quickly deliver better results.
Ontology-supported learning makes data more understandable for people and computers and thus supports innovative developments in companies.
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