A decision matrix for choosing the proper visualization technique in knowledge visualization
Michael Zeiller, Karl Edlinger
Abstract
Michael Zeiller, Karl Edlinger
Abstract
Knowledge workers who want to apply knowledge visualization have to determine which visualization tool is suitable for their needs. To support knowledge workers in this sophisticated problem a systematic approach is presented that matches typical tasks in knowledge management to visualization techniques that support these tasks. Knowledge workers are provided with a three-dimensional decision matrix that enables them to easily identify a suitable visualization technique for a certain knowledge problem. To be able to systematically evaluate and identify adequate visualization techniques a set of evaluation criteria is introduced.
OpenAlex reports 4 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
Knowledge workers who want to apply knowledge visualization have to determine which visualization tool is suitable for their needs. To support knowledge workers in this sophisticated problem a systematic approach is presented that matches typical tasks in knowledge management to visualization techniques that support these tasks. Knowledge workers are provided with a three-dimensional decision matrix that enables them to easily identify a suitable visualization technique for a certain knowledge problem. To be able to systematically evaluate and identify adequate visualization techniques a set of evaluation criteria is introduced.
Key concepts: Visualization, Computer science, Set (abstract data type), Information visualization, Data visualization, Decision support system, Data mining, Data science