A database-supported workbench for information fusion: INFUSE 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. par 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.
References in zbMATH (referenced in 2 articles )
Showing results 1 to 2 of 2.
- Schallehn, Eike; Sattler, Kai-Uwe: Using similarity-based operations for resolving data-level conflicts (2003)
- Dunemann, Oliver; Geist, Ingolf; Jesse, Roland; Sattler, Kai-Uwe; Stephanik, Andreas: A database-supported workbench for information fusion: INFUSE (2002)
Further publications can be found at: http://fusion.cs.uni-magdeburg.de/publications_e.html