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A knowledge map is an example of a knowledge management tool. It consists of a network of circles which represent the objects and lines which represent the intensity of the individual relations between two objects. The size of circles represents the total frequency of the key-term occurrence in the stock of data. This means that a large circle represents a high absolute frequency of appearance of a term while small corresponds to a small frequency. Knowledge maps are widely used for knowledge identification. Initial information can be obtained by looking at the map. What can be seen at first are the topics which constitute strong clusters, and which are rather separated from other topics due to specific terms used in that cluster. Furthermore, overlapping clusters constitute significant information about the key-term.
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Due to the indicator used those objects with high frequency are positioned in the center of the map while those with a low frequency are positioned at the periphery. Important is furthermore the position of the objects compared to each other. Objects which are positioned close to each other form subtopics and clusters because they occur in similar contexts. The absolute position of the objects in the north or east of the knowledge map is of smaller importance because the knowledge map is invariant to translation and rotation.
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“Knowledge management (KM) is the process of creating value for the intangible assets of an enterprise.” p. 37
Konstantinos Ergazakis, Konstantinos Karnezis, et al. (2002).
Knowledge Management in Enterprises: A Research Agenda.
Practical aspects of Knowledge Management - 4th International
Conference, PAKM 2002, Vienna, Austria, Springer.
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Private Sector