Lehrstuhl für Informatik 6 (Datenmanagement)


Description:


The Chair of Computer Science 6 (Data Management) was founded in 1979 by appointing Prof. Dr. Hartmut Wedekind. After his retirement, Prof. Dr. Klaus Meyer-Wegener was appointed in 2001 as the new head. Since April 2007, the associated professorship is staffed with Prof. Dr. Richard Lenz.



The chair is engaged in research on the foundations of data management and the application-driven deployment of data-management technologies. We strive to immediately transfer our research results and developed concepts into industrial practice in the context of projects with partners from economy and public services. Both research and project activities together are important cornerstones of student education.



Database systems as the most important technology of data management have reached large impact in all areas of economy and administration. The growing need to integrate different database systems and the increasing request for efficient support of inter-system and inter-organizational business processes motivate application-oriented research in evolutionary information systems and data quality. As far as fundamental research is concerned, the chair works on technologies that support scalability and evolutionary capabilities as well as the functional enhancement with data-stream processing.


Address:
Martensstraße 3
91058 Erlangen



Subordinate Organisational Units

Professur für Informatik (Datenbanksysteme)


Research Fields

Application Integration and Evolutionary Information Systems
Database and Data-stream Systems
Database Systems
Data Integration
Data Management in the Digital Humanities
Data Quality
Datastream Systems
Evolutionary Information Systems
Process Management


Related Project(s)


(SPP 2037 - Scalable Data Management for Future Hardware):
ReProVide: Query Optimisation and Near-Data Processing on Reconfigurable SoCs for Big Data Analysis
Prof. Dr.-Ing. Klaus Meyer-Wegener; Prof. Dr.-Ing. Jürgen Teich; Dr.-Ing. Stefan Wildermann
(28/08/2017)


OCEAN: Open and Collaborative Query-Driven Analytics
Prof. Dr.-Ing. Richard Lenz; Andreas Maximilian Wahl
(01/11/2013)



Publications (Download BibTeX)

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Wahl, A.M., & Lenz, R. (2017). Analyzing SQL Query Logs using Multi-Relational Graphs. In Proc. Conf. "Lernen, Wissen, Daten, Analysen". Rostock, Germany, DE: CEUR-WS.
Guhlemann, S., Petersohn, U., & Meyer-Wegener, K. (2017). Reducing the Distance Calculations when Searching an M-Tree. Datenbank-Spektrum, 17(2), 155-167. https://dx.doi.org/10.1007/s13222-017-0258-5
Wahl, A.M., Endler, G., Schwab, P., Herbst, S., & Lenz, R. (2017). Anfrage-getriebener Wissenstransfer zur Unterstützung von Datenanalysten. Stuttgart, DE: Springer.
Wahl, A.M., Endler, G., Schwab, P., Herbst, S., & Lenz, R. (2017). We Can Query More than We Can Tell: Facilitating Collaboration Through Query-Driven Knowledge-Sharing. Portland, Oregon, US: ACM.
Wahl, A.M., Endler, G., Schwab, P., Herbst, S., & Lenz, R. (2017). Query-Driven Knowledge-Sharing for Data Integration and Collaborative Data Science. In New Trends in Databases and Information Systems. Nicosia, CY.
Meyer-Wegener, K. (2017). Erstmal einfach alles speichern: Big Data als Aufgabe für die Informatik. In Freiburg, Rudolf (Eds.), D@tenflut : Erlanger Universitätstage Ansbach 2016 (pp. 99-115). Erlangen: FAU University Press.
Freiburg, R., Büttner, S., Glasze, G., Hagenhoff, S., Meyer-Wegener, K., & Prokosch, H.-U. (2017). D@tenflut: Fünf Vorträge.Erlanger Universitätstage Amberg/Ansbach 2016. Erlangen: FAU University Press.
Schwab, P., Wahl, A.M., Lenz, R., & Meyer-Wegener, K. (2016). Query-driven Data Integration (Short Paper). In Proc. Conf. "Lernen, Wissen, Daten, Analysen" (pp. 206-211). Potsdam, Germany, DE: CEUR-WS.
Eibel, C., Herbst, S., Cassens, B., Hönig, T., Wägemann, P., Janker, H.,... Schröder-Preikschat, W. (2016). A Flexible, Adaptive System for Data-Stream Processing in Energy-Constrained Ad-hoc Networks. Erlangen: FAU Erlangen-Nürnberg.
Ziener, D., Weber, H., Vogt, J.-S., Schürfeld, U., Meyer-Wegener, K., Teich, J.,... Bauer, F. (2016). FPGA-Based Dynamically Reconfigurable SQL Query Processing. ACM Transactions on Reconfigurable Technology and Systems, 9(4), 25:1-25:24. https://dx.doi.org/10.1145/2845087
Wahl, A.M. (2016). A Minimally-Intrusive Approach for Query-Driven Data Integration Systems. In 2016 IEEE 32nd International Conference on Data Engineering Workshops (ICDEW) (pp. to appear). Helsinki: IEEE.
Tenschert, J., & Lenz, R. (2016). Towards Speech-Act-Based Adaptive Case Management. In Proc. 20th Int. Enterprise Distributed Object Computing Workshop (pp. 1-8). Vienna, AT: Institute of Electrical and Electronics Engineers Inc..
Dressler, F., Ripperger, S., Hierold, M., Nowak, T., Eibel, C., Cassens, B.,... Kölpin, A. (2016). From Radio Telemetry to Ultra-Low Power Sensor Networks - Tracking Bats in the Wild. IEEE Communications Magazine, 54(1), 129-135. https://dx.doi.org/10.1109/MCOM.2016.7378438
Pollner, T.N., Steudtner, C.T., & Meyer-Wegener, K. (2015). Placement-Safe Operator-Graph Changes in Distributed Heterogeneous Data Stream Systems. Datenbank-Spektrum, 15(3), 203-211. https://dx.doi.org/10.1007/s13222-015-0196-z
Pollner, T.N., Steudtner, C.T., & Meyer-Wegener, K. (2015). Operator Fission for Load Balancing in Distributed Heterogeneous Data Stream Processing Systems. In DEBS '15 Proceedings of the 9th ACM International Conference on Distributed Event-Based Systems (pp. 332-335). Oslo, NO: New York, NY, USA: ACM.
Herbst, S., Pollner, T.N., Tenschert, J., Lauterwald, F., Endler, G., & Meyer-Wegener, K. (2015). An Algebra for Pattern Matching, Time-aware Aggregates and Partitions on Relational Data Streams. In DEBS '15 Proceedings of the 9th ACM International Conference on Distributed Event-Based Systems (pp. 140-149). Oslo, NO: New York, NY, USA: ACM.
Pollner, T.N., Steudtner, C.T., & Meyer-Wegener, K. (2015). Placement-Safe Operator-Graph Changes in Distributed Heterogeneous Data Stream Systems. In Ritter N, Henrich A, Lehner W, Thor A, Friedrich S, Wingerath W (Eds.), Datenbanksysteme für Business, Technologie und Web (BTW 2015) - Workshopband (pp. 61-70). Hamburg, DE: Bonn: Gesellschaft für Informatik (GI).
Endler, G. (2015). Automatische Erkennung von Kung Fu Gesten mittels Magnetfeld- und Beschleunigungssensoren. In Marquardt, Anja; Kuhn, Peter (Eds.), Kampfkunst und Kampfsport in Forschung und Lehre 2014 (pp. 162-169). Ludwigsburg, DE: Feldhaus Verlag.
Endler, G., Baumgärtel, P., Wahl, A.M., & Lenz, R. (2015). ForCE: Is Estimation of Data Completeness Through Time Series Forecasts Feasible? In Advances in Databases and Information Systems (pp. 261-274). Futuroscope, Poitiers - France, FR: Switzerland: Springer.
Ziener, D., Bauer, F., Becher, A., Dennl, C., Meyer-Wegener, K., Schürfeld, U.,... Weber, H. (2015). FPGA-Based Dynamically Reconfigurable SQL Query Processing. ACM Transactions on Reconfigurable Technology and Systems.

Last updated on 2017-02-02 at 13:32