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A process‐based classification of knowledge maps and application examples
Author(s) -
Eppler Martin J.
Publication year - 2008
Publication title -
knowledge and process management
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.341
H-Index - 44
eISSN - 1099-1441
pISSN - 1092-4604
DOI - 10.1002/kpm.299
Subject(s) - computer science , process (computing) , table (database) , selection (genetic algorithm) , knowledge management , knowledge extraction , information retrieval , data science , data mining , artificial intelligence , operating system
This paper discusses pragmatic ways of classifying knowledge maps to give an overview of their application contexts and formats. In the paper, we show where and how the term knowledge map has been previously used and what criteria must be met in a sound and useful knowledge map classification that can support knowledge management processes. Various classification principles are presented and discussed. A table then matches map formats to knowledge management purposes and knowledge‐related contents in order to serve as a selection and organizing framework. Examples of some of the main types of knowledge maps are presented to illustrate the varieties of knowledge mapping present in the classification. The paper concludes by discussing its limitations and future research questions in the area of knowledge mapping. Copyright © 2008 John Wiley & Sons, Ltd.