Abstract
Information Fusion is the process of integration and interpretation of heterogeneous data in order to gain new information of higher quality [3]. A successful support for this task requires a tight coupling of different integration and analysis tools: accessing heterogeneous data sources, their integration, preparation and transformation, analysis of syntactic, semantic and temporal structures as well as their visualisation. The InFuse framework relies on database techniques with the goal to meet these requirements.
The proposed demonstration studies Comparative Genomics as one Information Fusion scenario. Gene information from different, heterogeneous sequence databases are used by several operators to analyse the function of unknown gene sequences within the demonstration.
This work is supported by DFG (German Research Council) grant FOR 345.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
S.F. Altschul, W. Gish, W. Miller, E.W. Myers, and D.J. Lipman. Basic local aligment search tool. J. Mol. Biol., 215:403–410, 1990.
Roland Jesse and Thomas Strothotte. Motion Enhanced Visualization in Support of Information Fusion. In Hamid R. Arabnia, editor, Proceedings of International Conference on Imaging Science, Systems, and Technology (CISST’2001), pages 492–497. CSREA Press, June 2001.
K. Sattler and G. Saake. Supporting Information Fusion with Federated Database Technologies. In S. Conrad, W. Hasselbring, and G. Saake, editors, Proc. 2nd Int. Workshop on Engineering Federated Information Systems, EFIS’99, Kühlungsborn, Germany, May 5–7, 1999, pages 179–184. infix-Verlag, Sankt Augustin, 1999.
K.-U. Sattler, S. Conrad, and G. Saake. Adding Conflict Resolution Features to a Query Language for Database Federations. Australian Journal of InformationSystems, 8(1):116–125, 2000.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2002 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Dunemann, O., Geist, I., Jesse, R., Sattler, KU., Stephanik, A. (2002). A Database-Supported Workbench for Information Fusion: InFuse . In: Jensen, C.S., et al. Advances in Database Technology — EDBT 2002. EDBT 2002. Lecture Notes in Computer Science, vol 2287. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45876-X_53
Download citation
DOI: https://doi.org/10.1007/3-540-45876-X_53
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-43324-8
Online ISBN: 978-3-540-45876-0
eBook Packages: Springer Book Archive