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Knowledge visualization
From Wikipedia, the free encyclopedia
Knowledge Visualization aims to facilitate the creation and communication of knowledge through the use of computer and non-computer-based, complementary, graphic representation techniques. Examples of such visual formats are information graphics, sketches, diagrams, images, mind maps, interactive visualizations, dynamic visuals (animations), imaginary visualizations, story boards or even physical objects for inspection.
While information visualization concentrates on the use of computer-supported tools to explore large amount of abstract data, knowledge visualization focuses on the transfer or creation of knowledge among people. Beyond the mere transfer of facts, knowledge visualization aims to further create or transfer insights, experiences, attitudes, values, expectations, perspectives, opinions, and predictions by using various complementary visualizations. Dynamic forms of visualisation such as educational animation have the potential to enhance understandings of systems that change over time.
Knowledge Visualization has its roots in Information Design, Instructional Message Design, Pedagogy, Cognitive Psychology, Graphic Design, Visual Communication, Communication Sciences and Knowledge Management, where it is a key-issue to make knowledge visible so that it can be better identified, accessed, shared, discussed, applied, or generally be managed.
- Information graphics
- Knowledge management
- Knowledge transfer
- Concept maps
- Scientific visualization
- Morphological analysis
- Formal concept analysis
- Conceptual graphs
- Third International Symposium on Knowledge and Argument visualization Research Symposium
- Visualization Summit The chair for Information Architecture organizes the first int. Visualization Summit on 3rd of July 2007
- Software for information organisation A list of software for information organisation
- InfoVis:Wiki Information Visualization Wiki
- Ray Uzwyshyn Human Knowledge Seeking and Information Visualization 2006 Samuel Lazerow Thompson ISI Memorial Lecture