ld be able to determine an adequate visualization technique easily – without having to perform complicated and time consuming analysis.
In this paper an approach to knowledge visualization will be presented that helps knowledge managers to identify an appropriate visualization technique that supplies their visualization needs. A decision matrix is proposed that associates knowledge management tasks to suitable visualization techniques. To evaluate the suitability of visualization techniques a set of evaluation criteria is introduced.
Section 2 gives a brief introduction to approaches on structuring the research domain of knowledge visualization as a new discipline of information visualization. Section 3 presents an overview of the entire mapping process. In section 4 the two major phases of the mapping process and criteria for evaluating visualization techniques are presented. In section 5 the two previous phases are combined to a single decision matrix. The paper is concluded in section 6 by an outlook on ongoing research.
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2. Systematic Approaches to Knowledge Visualization
Since knowledge visualization is an emerging discipline only a few systematic and theory building approaches to this entire new field of study exist. Among these approaches the works by Eppler and Burkhard ([6], [9], [10]) are highly relevant with reference to this paper since they examine knowledge and information visualization from a business knowledge management perspective. Their aim is to develop a conceptual framework that enables practitioners to better use and apply visual representations of knowledge [6]. Thus, they discuss several types of knowledge visualization and their applications and develop a theoretical framework and a model for knowledge visualization [9].
The Knowledge Visualization Framework by Eppler and Burkhard consists of five perspectives that need to be considered when creating visual representations that aim to create and transfer knowledge: a knowledge type perspective (What type of content is visualized?), a visualization goal perspective (Why should the knowledge be visualized?), a target group perspective (Who are the recipients?), a situation perspective (In which context should it be visualized?), and a format perspective (How can the knowledge be presented?) ([10]; previous work in [6], [9]).
Figure 1: The Knowledge Visualization Framework by Eppler and Burkhard [10]
Eppler and Burkhard distinguish seven reasons why visual representations are used in knowledge management (KM function or KM process): creating, codifying, transferring, identifying, applying, evaluating and measuring, and signalling knowledge (knowledge marketing) [10]. When analyzing the types of visual representations they differentiate between the following types of visualization formats (methods): structured text/tables, mental visualization and story telling, heuristic sketches, conceptual diagrams and concept maps, visual metaphors, knowledge maps, and interactive visualization environments.本
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Fig. 2 shows how these visualization formats are suitable for different knowledge management areas revealing that knowledge visualization is a good strategy for knowledge creation [10].
As presented by Burkhard and Eppler [10], the aim of this contribution is to develop an instrument that provides practitioners, i.e. knowledge workers and knowledge managers, with an easy to use and simple way of applying visual
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