A Database-Supported Workbench for Information Fusion: InFuse
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Information Fusion is the process of integration and interpretation of heterogeneous data in order to gain new information of higher quality . 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.
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- 1.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.Google Scholar
- 2.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.Google Scholar
- 3.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.Google Scholar
- 4.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.Google Scholar