When using new data sources, the question of the importance of these data will arise at a certain point in time. To make the most of the knowledge acquired, the data element must be linked to a concept, i.e. to the object (physical or abstract) it carries. Data semanticization overcomes the barriers created by data heterogeneity and provides a better understanding of environmental conditions. With a growing number of sensors and devices connected to the Internet, semantics is playing an increasingly important role in data integration, data interoperability, and data understanding.