Level of data-a concept for knowledge discovery in information spaces
Miriam Lux · 1998
The visualization of large volumes of abstract information requires mechanisms to support the user by knowledge discovery. Therefore, we have developed the "level of data" concept, in which the abstract nature of the data and the diverse user community has been taken into account. By using the "iceberg" metaphor, we classified the information space into several layers. The different backgrounds and analysis purposes of the users yield various views on the data. With these different perspectives on the iceberg, the levels of data can be pointed out. For proving the level-of-data concept, we developed a system for the interactive visualization of share prices as a representative example of abstract information. With the integration of this concept, it is possible that any user can perform any analysis within a single system.