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Detecting, Assessing, and Monitoring Relevant Topics in Virtual Information Environments
The ability to assess the relevance of topics and related sources in information-rich environments is a key to success when
scanning business environments. This paper introduces a hybrid system to support managerial information gathering. The system is
made up of three components: 1) a hierarchical hyperbolic SOM for structuring the information environment and visualizing the
intensity of news activity with respect to identified topics, 2) a spreading activation network for the selection of the most relevant
information sources with respect to an already existing knowledge infrastructure, and 3) measures of interestingness for association
rules as well as statistical testing that facilitates the monitoring of already identified topics. Embedding the system by a framework
describing three modes of human information seeking behavior endorses an active organization, exploration and selection of
information that matches the needs of decision-makers in all stages of the information gathering process. By applying our system in the
domain of the hotel industry, we demonstrate how typical information gathering tasks are supported. Moreover, we present an
empirical study investigating the effectiveness and efficiency of the visualization framework of our system.
Autor
Prof. Dr. rer. nat. Franz Wagner
Jörg Ontrup; Helge Ritter; Sörn W. Scholz
 
ArtikelFachbereichFachrichtung
2009BetriebswirtschaftslehreMarketing/Absatz
 
Schlagwörter
enviromental scanning, hyperbolic self-organizing maps, information foraging, alert system