The term \u201eontology-supported learning\u201c belongs to the fields of Artificial Intelligence, Big Data and Smart Data, and Digital Transformation. In these areas, increasing importance is being placed on structuring knowledge so that computers can understand and utilise it better.<\/p>\n
In ontology-based learning, an \u201eontology\u201c helps to organise information in a way that allows it to be logically linked. An ontology is like a structured directory that clearly defines terms and their relationships. This makes it easier for machines to correctly recognise and learn connections. <\/p>\n
Imagine a company wants to use AI to analyse all internal emails in order to respond to customer queries more quickly. Through ontology-based learning, the software automatically recognises which terms belong together or how, for example, \u201ecomplaint\u201c, \u201egrievance\u201c and \u201ecustomer satisfaction\u201c are related in terms of content. In this way, the AI learns more precisely with the help of clearly defined structures and can deliver better results quickly.<\/p>\n
Ontology-driven learning makes data more understandable for humans and computers, thereby supporting innovative developments in businesses.<\/p>","protected":false},"excerpt":{"rendered":"