Extended visualization of historical data through multidimensional maps and interactive graphs
2021 Call for “Knowledge Generation Projects”
Data visualization provides average users with intuitive means to explore and analyze massive datasets interactively, which can be dynamic, noisy, and heterogeneous, allowing them to effectively identify interesting patterns, infer correlations and causations, and support sense-making activities, thereby amplifying human cognition.
However, the quantity and complexity of data available to humans through the internet have increased enormously in recent years. In this regard, Cultural Heritage institutions are a great source of high-quality data, which are not actually being utilized by data scientists. It’s important to understand, furthermore, that cultural data differs from those provided by natural sciences. They are rarely discrete and univocal.
Finding ways to deal with their specificities is a major challenge.
Thus, the multidisciplinary research project ClioViz emerges from the desire to provide a solution for the visual representation of complex historical and artistic data, in an accessible manner with high usability for users.