Temporal abstraction refers to the process of simplifying complex temporal data by identifying and focusing on significant time intervals or events, allowing for more efficient analysis and decision-making. It is crucial in fields like artificial intelligence and data mining where understanding temporal patterns and trends is essential for predictive modeling and strategic planning.