Publications

2020

  • Compression Methods for Structured Floating-Point Data and their Application in Climate Research
    Cayoglu, U.
    2020. Ph.D. thesis, Karlsruher Institut f ̈urTechnologie (KIT) (2020). doi:10.5445/IR/1000105055

2019

  • Data Encoding in Lossless Prediction-Based Compression Algorithms
    Cayoglu, U., Tristram, F., Meyer, J., Schröter, J., Kerzenmacher, T., Braesicke, P., and Streit, A.
    2019. In IEEE 15th International Conference on e-Science (e-Science). ISBN: 978-1-7281-2451-3 , doi:10.1109/eScience.2019.00032
  • On Advancement of Information Spaces to Improve Prediction-Based Compression
    Cayoglu, U., Tristram, F., Meyer, J., Kerzenmacher, T., Braesicke, P., and Streit, A.
    2019. In David, K., Geihs, K., Lange, M., and Stumme, G., editors, INFORMATIK 2019: 50 Jahre Gesellschaft für Informatik – Informatik für Gesellschaft, pages 271–272, Bonn. Gesellschaft für Informatik e.V., ISBN: 978-3-88579-688-6 , ISSN: 1617-5468 , doi:10.18420/inf2019_39

2018

  • A Modular Software Framework for Compression of Structured Climate Data
    Cayoglu, U., Schröter, J., Meyer, J., Streit, A., and Braesicke, P.
    2018. In Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, SIGSPATIAL ’18, pages 556–559, New York, NY, USA. ACM, ISBN: 978-1-4503-5889-7, doi:10.1145/3274895.3274897
  • Concept and Analysis of Information Spaces to improve Prediction-Based Compression
    Cayoglu, U., Tristram, F., Meyer, J., Kerzenmacher, T., Braesicke, P., and Streit, A.
    2018. In 2018 IEEE International Conference on Big Data (Big Data), pages 3392–3401. doi:10.1109/BigData.2018.8622313
  • QBO influence on the ozone distribution in the extra-tropical stratosphere
    Kerzenmacher, T., Cayoglu, U., Kellmann, S., Kirner, O., Versick, S., Wang, S., and Braesicke, P.
    2018. In EGU General Assembly Conference Abstracts, volume 20, page 16565. https://
    meetingorganizer.copernicus.org/EGU2018/EGU2018-16565
  • Towards an optimised environmental data compression method for structured model output
    Cayoglu, U., Braesicke, P., Kerzenmacher, T., Meyer, J., and Streit, A.
    2018. In EGU General Assembly Conference Abstracts, volume 20, page 8609. https://meetingorganizer.
    copernicus.org/EGU2018/EGU2018-8609
  • User Storys von bwFDM-Communities

2017

  • Adaptive Lossy Compression of Complex Environmental Indices Using Seasonal Auto-Regressive Integrated Moving Average Models
    Cayoglu, U., Braesicke, P., Kerzenmacher, T., Meyer, J., and Streit, A.
    2017. IEEE 13th International Conference on e-Science (e-Science), pages 315–324. doi:10.1109/eScience.2017.45 [best paper award]

2016

  • Öffentlicher Abschlussbericht von bwFDM
  • Research Data Management within the E-Science Strategy in Baden-Württemberg-Preliminary Results of Project bwFDM-Communities

2015

  • Öffentlicher Abschlussbericht von bwFDM-Communities-Wissenschaftliches Datenmanagement an den Universitäten Baden-Württembergs

2014

  • Status report of bwfdm-communities-A state wide research data management initiative

2013

  • Report: The process model matching contest 2013
    Cayoglu, U., Dijkman, R., Dumas, M., Fettke, P., García-Bañuelos, et al.
    2013. In International Conference on Business Process Management (pp. 442-463). Springer, Cham. doi:10.1007/978-3-319-06257-0_35
  • Triple-s: A matching approach for Petri nets on syntactic, semantic and structural level
    Cayoglu, U., Oberweis, A., Schoknecht, A., & Ullrich, M.
    2013. In Proceedings of PMMC, 13. http://semreuse.aifb.kit.edu/downloads/TripleS