Detecting, Assessing, and Monitoring Relevant Topics in Virtual Information Environments

Ontrup J, Ritter H, Scholz S, Wagner R (2009)
IEEE Transactions on Knowledge and Data Engineering 21(3): 415-427.

Zeitschriftenaufsatz | Veröffentlicht | Englisch
 
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Abstract / Bemerkung
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.
Stichworte
Information Storage and Retrieval; Human information processing; Search process; Information Technology; Information Search and Retrieval; Text mining; Clustering; Graphical user interfaces; Database Applications; Data and knowledge visualization
Erscheinungsjahr
2009
Zeitschriftentitel
IEEE Transactions on Knowledge and Data Engineering
Band
21
Ausgabe
3
Seite(n)
415-427
ISSN
1041-4347
Page URI
https://pub.uni-bielefeld.de/record/1636062

Zitieren

Ontrup J, Ritter H, Scholz S, Wagner R. Detecting, Assessing, and Monitoring Relevant Topics in Virtual Information Environments. IEEE Transactions on Knowledge and Data Engineering. 2009;21(3):415-427.
Ontrup, J., Ritter, H., Scholz, S., & Wagner, R. (2009). Detecting, Assessing, and Monitoring Relevant Topics in Virtual Information Environments. IEEE Transactions on Knowledge and Data Engineering, 21(3), 415-427. https://doi.org/10.1109/TKDE.2008.149
Ontrup, Jörg, Ritter, Helge, Scholz, Sören, and Wagner, Ralf. 2009. “Detecting, Assessing, and Monitoring Relevant Topics in Virtual Information Environments”. IEEE Transactions on Knowledge and Data Engineering 21 (3): 415-427.
Ontrup, J., Ritter, H., Scholz, S., and Wagner, R. (2009). Detecting, Assessing, and Monitoring Relevant Topics in Virtual Information Environments. IEEE Transactions on Knowledge and Data Engineering 21, 415-427.
Ontrup, J., et al., 2009. Detecting, Assessing, and Monitoring Relevant Topics in Virtual Information Environments. IEEE Transactions on Knowledge and Data Engineering, 21(3), p 415-427.
J. Ontrup, et al., “Detecting, Assessing, and Monitoring Relevant Topics in Virtual Information Environments”, IEEE Transactions on Knowledge and Data Engineering, vol. 21, 2009, pp. 415-427.
Ontrup, J., Ritter, H., Scholz, S., Wagner, R.: Detecting, Assessing, and Monitoring Relevant Topics in Virtual Information Environments. IEEE Transactions on Knowledge and Data Engineering. 21, 415-427 (2009).
Ontrup, Jörg, Ritter, Helge, Scholz, Sören, and Wagner, Ralf. “Detecting, Assessing, and Monitoring Relevant Topics in Virtual Information Environments”. IEEE Transactions on Knowledge and Data Engineering 21.3 (2009): 415-427.
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