Martin Schäler

Associate Professor
Deputy Head of the Database Research Group


Jakob-Haringer-Str. 2 (Office 1.05)
5020 Salzburg, Austria

Tel: +43-(0)662-8044-6352
Fax: +43-(0)662-8044-172

Assoz.-Prof. Dr.-Ing. Martin Schäler

Position & Affiliation

Contact Information

Profiles


Short CV

I received my Master degree from the Otto-von-Guericke University Magdeburg in 2010. Afterwards I was employed as a research assistant and scientific coordinator at the Otto-von-Guericke University Magdeburg, receiving my Ph.D. degree in 2014. My supervisor was Prof. Gunter Saake.

From August 2015 to September 2020 I was a post-doctoral researcher at the DBIS group (Lehrstuhl für Systeme der Informationsverwaltung) of Prof. Böhm at the Karlsruhe Institute of Technology. Since 2020 I have a tenure-track Assistant Professorship at Salzburg University.

Research Interests


Selected Publications

2021

  1. Martin Schäler, Christine Tex, Veit Köppen, David Broneske, Gunter Saake. Towards multi-purpose main-memory storage structures: Exploiting sub-space distance equalities in totally ordered data sets for exact knn queries. Inf. Syst., 101, 101791, 2021. PDF

2020

  1. Adrian Englhardt, Jens Willkomm, Martin Schäler, Klemens Böhm. Improving semantic change analysis by combining word embeddings and word frequencies. Int. J. Digit. Libr., 21(3), 247–264, 2020. PDF

2019

  1. David Broneske, Veit Köppen, Gunter Saake, Martin Schäler. Efficient Evaluation of Multi-Column Selection Predicates in Main-Memory. IEEE Trans. Knowl. Data Eng., 31(7), 1296–1311, 2019. PDF

2018

  1. Christine Tex, Martin Schäler, Klemens Böhm. Towards meaningful distance-preserving encryption. Proceedings of the 30th International Conference on Scientific and Statistical Database Management, SSDBM 2018, Bozen-Bolzano, Italy, July 09-11, 2018, 2:1–2:12, 2018. PDF

2017

  1. David Broneske, Veit Köppen, Gunter Saake, Martin Schäler. Accelerating Multi-Column Selection Predicates in Main-Memory - The Elf Approach. 33rd IEEE International Conference on Data Engineering, ICDE 2017, San Diego, CA, USA, April 19-22, 2017, 647–658, 2017. PDF
  2. Ábel Elekes, Martin Schäler, Klemens Böhm. On the Various Semantics of Similarity in Word Embedding Models. 2017 ACM/IEEE Joint Conference on Digital Libraries, JCDL 2017, Toronto, ON, Canada, June 19-23, 2017, 139–148, 2017. PDF

2013

  1. Martin Schäler, Alexander Grebhahn, Reimar Schröter, Sandro Schulze, Veit Köppen, Gunter Saake. QuEval: Beyond high-dimensional indexing a la carte. Proc. VLDB Endow., 6(14), 1654–1665, 2013. PDF