Temporal abstractions refer to the process of simplifying complex temporal data or events into more manageable, higher-level representations, enabling more efficient analysis, modeling, and decision-making. By abstracting away irrelevant details, researchers and developers can better understand and work with temporal data, driving advancements in fields such as artificial intelligence, data mining, and human-computer interaction.