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, K uhlungsborn, Germany, May 5--7, 1999, pages 179--184. infix-Verlag, Sankt Augustin, 1999.  Home/Search   Document Details and Download   Summary   Related Articles   Check

....by the operating system, perhaps different database systems, a layer to combine and select data from different sources, fusion algorithms that filter and reduce the datasets, and a user interface to interact with the whole fusion engine . As an example figure 1 gives an overview of the InFuse[9] system currently developed at the University of Magdeburg. Several layers of independent and reusable modules are plugged together to build the large and complex final Workbench for the Information Fusion . This structuring is necessary to get a flexible and maintainable implementation. By ....

K.-U. Sattler and G. Saake. Supporting Information Fusion with Federated Database Technologies. In Proceedings of the 2nd Int. Workshop on Engineering Federated Information Systems (EFIS '99), Khlungsborn, Germany, 1999.

....publications are essential , i.e. are cited often from within the cluster, or basic , i.e. cited often but do not cite many other papers within the cluster. 9 We are planning to investigate how well known techniques from the area of KDD can be applied in the area of database federations [SS99] and especially in the application area of citation linking. 7 Conclusion We presented an approach to integrate citation linking information available in various sources based on concepts from the area of federated database systems. For this purpose, we used the FRAQL language which provides ....

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, K uhlungsborn, Germany, May 5--7, 1999, pages 179--184. infix-Verlag, Sankt Augustin, 1999.

....and transformation, detecting inconsistencies in data coming from multiple sources, removing outliers, suppressing noise and reducing data. However, writing dedicated routines addressing individual subproblems can be an expensive and error prone process especially for information fusion [24] the integration and analysis of data from heterogeneous sources. In this paper we have presented a framework for data preparation based on the multidatabase query language FRAQL. The benefit of using a multidatabase language is the virtual integration combined with the ability to apply ....

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, Kuhlungsborn, Germany, May 5--7, 1999.

....Stephanik Department of Computer Science, University of Magdeburg, P.O. Box 4120, D 39016 Magdeburg, Germany fusion cs.uni magdeburg.de 1 Introduction 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 di#erent 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 ....

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, Kuhlungsborn, Germany, May 5--7,

....with other multidatabase languages like MSQL or SchemaSQL, but in contrast to these FRAQL is extensible by user defined data types and functions and it supports dynamic integration of new sources. With this features FRAQL could form the base for advanced data integration and fusion tasks [SS99] In this context, FRAQL is not intended as an end user language, but an intermediate language for specifying the integrated views. Therefore, users can query the global integrated relations by means of usual SQL operations without knowledge of the FRAQL extensions. In FRAQL a federation is a ....

K. Sattler and G. Saake. Supporting Information Fusion with Federated Database Technologies. In S. Conrad, W. Hasselbring, and G. Saake, editors, EFIS'99, Kuhlungsborn, Germany, pages 179--184. infix-Verlag, Sankt Augustin, 1999.

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