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

Database Systems
Data Integration
Data Management in the Digital Humanities
Data Quality
Datastream Systems
Evolutionary Information Systems
Process Management


Related Project(s)

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(DFG Priority Programme (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 - 31/08/2021)


(EFRE EIASY-Opt - Competence and Analysis Project for the "Data-driven Process and Production Optimization with the help of Data Mining and Big Data"):
E|ASY-Opt INF6: REAPER: A Framework for Materializing and Reusing Deep-Learning Models
Prof. Dr.-Ing. Klaus Meyer-Wegener
(01/01/2017 - 31/12/2020)


KYQ: Know Your Queries!
Prof. Dr.-Ing. Klaus Meyer-Wegener
(01/04/2015 - 31/12/2018)


DAMSEL: Assessment of Data Management Systems
Prof. Dr.-Ing. Klaus Meyer-Wegener
(01/09/2014 - 31/12/2018)


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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Duda, N., Nowak, T., Hartmann, M., Schadhauser, M., Cassens, B., Wägemann, P.,... Kölpin, A. (2018). BATS: Adaptive Ultra Low Power Sensor Network for Animal Tracking. Sensors. https://dx.doi.org/10.3390/s18103343
Schwab, P., Wahl, A.M., Meyer-Wegener, K., & Matschinske, J.O. (2018). Towards Query-Driven Data Minimization. In Proc. Conf. "Lernen, Wissen, Daten, Analysen" (pp. 335-338). Mannheim, Germany, DE: CEUR-WS.
Wahl, A.M., Sauerhammer, C., Schwab, P., Herbst, S., & Lenz, R. (2018). Query-Driven Data Profiling with OCEANProfile. Rio de Janeriro, BR.
Becher, A., Beena Gopalakrishnan Nair, L., Broneske, D., Drewes, T., Gurumurthy, B., Meyer-Wegener, K.,... Wildermann, S. (2018). Integration of FPGAs in Database Management Systems: Challenges and Opportunities. Datenbank-Spektrum. https://dx.doi.org/10.1007/s13222-018-0294-9
Wahl, A.M., Schwab, P., & Lenz, R. (2018). Minimally-Intrusive Augmentation of Data Science Workflows. Mannheim, DE.
Wahl, A.M., Endler, G., Schwab, P., Herbst, S., Rith, J., & Lenz, R. (2018). Crossing an OCEAN of queries: Analyzing SQL query logs with OCEANLog. Association for Computing Machinery.
Wahl, A.M., Endler, G., Schwab, P.K., Rith, J., Herbst, S., & Lenz, R. (2018). A graph-based framework for analyzing SQL query logs. Association for Computing Machinery, Inc.
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.
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.
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.
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.
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
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..
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

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