Visualisation and interaction for scientific exploration and knowledge discovery

Elena Zudilova-Seinstra, Tony Adriaansen
2007 Knowledge and Information Systems  
With the rapid development of information technology, the amount and complexity of scientific data increase exponentially every day. The data explosion has led to very large detailed datasets and the amount of detail in these datasets continues to grow. Nowadays, the challenge is to harness the power of knowledge hidden in the collage of scientific data. Visualisation technologies empower users to perceive important patterns in the data, identify areas that need further scrutiny and make
more » ... icated decisions. However, looking at information is only the first step in understanding. For some domains, it is unclear what the features of interest are and how to define them in such a way that they can be detected. Many scientific discovery tasks can only be solved in interactive ways: by combining information analysis tools, advanced visualisation techniques and intuitive user interfaces. The importance of human interaction and perception cannot be ignored in the field of scientific computing and data analysis. Interactive exploration systems allow people to examine scientific data and share obtained knowledge with, and through, information technology. These systems should be easy to use and not require sophisticated computer skills, as most of users are rather domain-specific experts than computer scientists. To increase users' abilities to explore the data and better understand the results of experiments based on extensive calculations, new scientific methods need to be developed and applied. This special issue combines papers that discuss how modern visualisation and interaction techniques can augment the information analysis cycle from the user's perspective. The collected manuscripts are updated and expanded versions of papers presented at a series of
doi:10.1007/s10115-007-0098-y fatcat:xwij7o6s55hnvm3dkxdvsjgkxy