Ontology engineering is a term that plays a particularly important role in the fields of artificial intelligence, big data and smart data as well as Industry and Factory 4.0. It involves representing knowledge in a clear, structured form so that computers and machines can understand and utilise this knowledge.
Think of ontology engineering as creating a very detailed reference book or dictionary for a specific industry. It defines all the important terms, properties and relationships between them. For example, a computer does not automatically know that a "car" is a "vehicle" and needs "petrol". This knowledge is created and linked with the help of ontologies.
In Industry 4.0, ontology engineering can ensure that machines and software from different factories can automatically understand each other and work together efficiently. For example, a shared ontology enables all machines in a production line to know exactly how they interact with each other and exchange error messages more easily.
For decision-makers, this means that ontology engineering creates the basis for data and processes to work together smoothly digitally without the need for constant manual adjustments. This saves time, reduces the error rate and makes your company fit for the digital future.
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