The paper discusses the trends of temporal data modelling, gives the overview of approaches and shows the examples of data models. We focus the difficult cases to be represented by the current temporal models, shows further dimensions of given problem and speak about possibilities to improve the capabilities of temporal object understanding and to spread the representation of spatial-temporal object and phenomena.
