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A Semantic Approach to Supporting Users in the Selection of Visualizations in Business Intelligence Environments

  • The amount of data produced and stored in multiple types of distributed data sources is growing steadily. A crucial factor that determines whether data can be analyzed efficiently is the use of adequate visualizations. Almost simultaneously with the ongoing availability of data numerous types of visualization techniques have emerged. Since ordinary business intelligence users typically lack expert visualization knowledge, the selection and creation of visualizations can be a very time- and knowledge-consuming task. To encounter these problems an architecture that aims at supporting ordinary BI users in the selection of adequate visualizations is developed in this thesis. The basic idea is to automatically provide visualization recommendations based on the concrete BI scenario and formalized visualization knowledge. Ontologies that formalize all relevant knowledge play an important role in the developed architecture and are the key to make the knowledge machine-processable.

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Metadaten
Author:Karolin Stefani
URN:urn:nbn:de:hbz:832-epub4-4428
Year of Completion:2014
Referee:Kristian Fischer, Frank Victor
Document Type:Master's Thesis
Language:English
Publishing Institution:Hochschulbibliothek der Technischen Hochschule Köln
Granting Institution:Technische Hochschule Köln
Date of Publication (online):2014/03/31
GND-Keyword:Business Intelligence; Ontologie; Semantic Web; Visualisierung
Institutes:Informatik und Ingenieurwissenschaften (F10) / Fakultät 10 / Institut für Informatik
CCS-Classification:H. Information Systems / H.m MISCELLANEOUS
Dewey Decimal Classification:000 Allgemeines, Informatik, Informationswissenschaft / 000 Allgemeines, Wissenschaft / 004 Informatik
JEL-Classification:Y Miscellaneous Categories / Y9 Other / Y90 Other
Open Access:Open Access
Licence (German):License LogoEs gilt das UrhG