• Skip navigation
  • Skip to navigation
  • Skip to the bottom
Simulate organization breadcrumb open Simulate organization breadcrumb close
Friedrich-Alexander-Universität Chair of Computer Science 6 CS6
  • FAUTo the central FAU website
  1. Friedrich-Alexander-Universität
  2. Technische Fakultät
  3. Department Informatik
Suche öffnen
  • Deutsch
  • Imprint
  • Privacy
  • Accessibility
  1. Friedrich-Alexander-Universität
  2. Technische Fakultät
  3. Department Informatik
Friedrich-Alexander-Universität Chair of Computer Science 6 CS6
Navigation Navigation close
  • Chair
    • About us
    • Staff
    • Contact
    Chair main page
  • Research
    • Evolutionary Information Systems
      • Sprechaktbasiertes Fallmanagement
      • Open and Collaborative Query-Driven Analytics
      • Processing Heterogeneous Assets and Resources to discover Ontologies and Semantics
      • Schema Inference and Machine Learning
    • Data Quality
      • DQ-Step – Verbesserung der Datenqualität bei AREVA NP / Abteilung NEM-G
      • Data quality and innovative capability of medical products
    • Data Integration
      • DQ-Step – Verbesserung der Datenqualität bei AREVA NP / Abteilung NEM-G
      • Open and Collaborative Query-Driven Analytics
      • Processing Heterogeneous Assets and Resources to discover Ontologies and Semantics
      • Schema Inference and Machine Learning
    • Process Management
      • Sprechaktbasiertes Fallmanagement
    • Database Systems
      • REAPER: A Framework for Materializing and Reusing Deep-Learning Models
      • Data Stream Application Manager
      • Know Your Queries!
      • Assessment of Data Management Systems
      • Query Optimisation and Near-Data Processing on Reconfigurable SoCs for Big Data Analysis
      • Query Optimisation and Near-Data Processing on Reconfigurable SoCs for Big Data Analysis (Phase II)
      • Schema Inference and Machine Learning
      • Architecture of Non-Multiple Autoencoders for Non-Lossy Information Agglomeration (working title, preliminary)
    • Datastream Systems
      • Data Stream Application Manager
      • Cross-system Optimization of Data-stream Queries
    • Data Management in the Digital Humanities
      • Franken in historischen Reiseberichten
      • Campusnetzwerk Digitale Geistes- und Sozialwissenschaften
    • Modern Database Systems
    • Finished Research Projects
    • Publications
    Research main page
  • Teaching
    • Study recommendations
    • Courses
    • Curriculum
    • Supervised theses
    • Exam information
    Teaching main page

Chair of Computer Science 6

Data Management

In page navigation: Research
  • Finished Research Projects
  • Publications
  • Evolutionary Information Systems
  • Data Quality
  • Data Integration
  • Process Management
  • Database Systems
    • REAPER: A Framework for Materializing and Reusing Deep-Learning Models
    • Data Stream Application Manager
    • Know Your Queries!
    • Assessment of Data Management Systems
    • Query Optimisation and Near-Data Processing on Reconfigurable SoCs for Big Data Analysis
    • Query Optimisation and Near-Data Processing on Reconfigurable SoCs for Big Data Analysis (Phase II)
    • Schema Inference and Machine Learning
    • Architecture of Non-Multiple Autoencoders for Non-Lossy Information Agglomeration (working title, preliminary)
  • Datastream Systems
  • Data Management in the Digital Humanities
  • Modern Database Systems

Know Your Queries!

Know Your Queries!

(Own Funds)

Project leader: Klaus Meyer-Wegener
Project members: Peter Schwab
Start date: 01/04/2015
End date: 31/12/2018
Acronym: KYQ

Abstract

The project aims at the management of database queries for a number of different purposes. A simple form is the use for the optimization of a given database instance. This is done by database administrators anyway, and often the database systems helps them in storing the queries and making suggestions for optimizations.

If you know your queries, however, you can do much more. You can check whether some of them would be executed more efficiently by a datastream system. Or by a NoSQL system. In both cases the queries must be translated into the languages understood by the resp. system.

And finally one can take queries also when the system needed to execute them does not even exist. One reason can be that the data needed to respond to the query are locally stored in your own system, but are available in external sources that still need to be attached. Another reason can be that there is no database system yet. Designing it could benefit substantially from knowing the queries that it is to execute later on. One can even try to generate parts of the database schema automatically from the queries.

Publications

  • Schwab P., Wahl AM., Lenz R., Meyer-Wegener K.:
    Query-driven Data Integration (Short Paper)
    LWDA (Potsdam, Germany, 12/09/2016 - 14/09/2016)
    In: Proc. Conf. "Lernen, Wissen, Daten, Analysen" 2016
    URL: http://ceur-ws.org/Vol-1670/paper-48.pdf
    BibTeX: Download
  • Matschinske JO.:
    Query-Driven Enforcement of Rule-Based Policies for Data-Privacy Compliance
    Lernen, Wissen, Daten, Analysen (LWDA) 2019 (Berlin, Germany, 30/09/2019 - 02/10/2019)
    In: Robert Jäschke, Matthias Weidlich (ed.): Proc. Conf. "Lernen, Wissen, Daten, Analysen" 2019
    Open Access: http://ceur-ws.org/Vol-2454/paper_56.pdf
    URL: http://ceur-ws.org/Vol-2454/paper_56.pdf
    BibTeX: Download
  • Schwab P., Wahl AM., Matschinske JO., Meyer-Wegener K.:
    Query-Driven Data Minimization with the DataEconomist
    Advances in Database Technology - 22nd International Conference on Extending Database Technology (EDBT 2019) (Lisbon, Portugal, 26/03/2019 - 29/03/2019)
    In: OpenProceedings.org 2019, 78457 Konstanz, Germany: 2019
    DOI: 10.5441/002/edbt.2019.69
    URL: https://openproceedings.org/2019/conf/edbt/EDBT19_paper_365.pdf
    BibTeX: Download
  • Schwab P., Langohr M., Röckl J., Vöhringer D., Wahl AM., Meyer-Wegener K.:
    Query-Driven Enforcement of Rule-Based Policies for Data-Privacy Compliance
    LWDA 2019 Lernen, Wissen, Daten, Analysen (Berlin, Germany, 30/09/2019 - 02/10/2019)
    In: Proc. Conf. "Lernen, Wissen, Daten, Analysen" 2019
    Open Access: http://ceur-ws.org/Vol-2454/paper_56.pdf
    URL: http://ceur-ws.org/Vol-2454/paper_56.pdf
    BibTeX: Download
  • Schwab P., Langohr M., Meyer-Wegener K.:
    A Framework for DSL-Based Query Classification Using Relational and Graph-Based Data Models
    3rd Joint International Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA) (Portland, OR, 14/06/2020 - 14/06/2020)
    In: ACM (ed.): GRADES-NDA'20: Proceedings of the 3rd Joint International Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA) 2020
    DOI: 10.1145/3398682.3399167
    URL: https://dl.acm.org/doi/abs/10.1145/3398682.3399167
    BibTeX: Download

People

Project Heads

Peter Schwab

Dr.-Ing. Peter Schwab

  • Google Scholar: Page of Peter Schwab
  • Research Gate: Page of Peter Schwab
Klaus Meyer-Wegener

Prof. i. R. Dr. Klaus Meyer-Wegener

Further Participants

  • Julian Matschinske
  • Maximilian Langohr
  • Jonas Röckl
Chair of Computer Science 6 (Data Management)
Friedrich-Alexander-Universität Erlangen-Nürnberg

Martensstraße 3
91058 Erlangen
Germany
  • Contact
  • Imprint
  • Privacy
  • Accessibility
  • Facebook
  • RSS Feed
  • Twitter
  • Xing
Up