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.
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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
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DOI: https://doi.org/10.1007/3-540-45876-X_53
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