Visual knowledge management with adaptable document maps

Analyzing, structuring and organizing documented knowledge is an important aspect of knowledge management. In literature so-called document maps have been proposed for visualizing the semantic similarity structure of a corpus of documents. So far, however, a method which is specifically designed for typical document analysis tasks in knowledge management – along with an application-oriented evaluation – was missing. Based on an empirical task-model this work presents an adaptable framework for generating document maps. The benefits of this framework are a flexible combination of similarity- and topology-preserving visualization methods and the exchangeability of the component for assessing the similarity of documents. An extension of the basic method allows the analyst to adapt the mapãs generation by incorporating a personal analysis interest. The interactive document map system DocMINER implements the developed method and comprises additional map-oriented tools for analyzing text collections. Industrial and scientific case studies help to better understand whether the proposed graphical overview can be effectively applied to real-world problems. Moreover, a comparative empirical study in a laboratory setting evaluates the document map concept against an alternative text-access interface.

Grantor dc:publisher

Publikationsserver der RWTH Aachen University

Year dc:date

2001

Author dc:creator

• Becks, Andreas

Contributors dc:contributor

• Jarke, Matthias

• info:eu-repo/classification/ddc/004
• Informatik

Statement dc:rights

• info:eu-repo/semantics/openAccess

Language dc:language

eng

Identifier

https://publications.rwth-aachen.de/search?p=id:%22RWTH-CONV-121230%22

OAI identifier oai:identifier

oai:publications.rwth-aachen.de:59445