Simon Schausberger, MSc

Simon Schausberger
  • 02/2016 - 01/2018: Project Member
I. Kovacic, C. Schütz, S. Schausberger, R. Sumereder, M. Schrefl:
Guided Query Composition with Semantic OLAP Patterns
In: Proceedings of the 2nd International Workshop on Data Analytics Solutions for Real-Life Applications (DARLI-AP 2018), EDBT/ICDT 2018 Joint Conference, Vienna, Austria, March 26, 2018, CEUR Workshop Proceedings (Vol. 2083), URN: urn:nbn:de:0074-2083-1, Download PDF:, pp. 67-74, 2018.
C. Schütz, S. Schausberger, M. Schrefl:
Building an Active Semantic Data Warehouse for Precision Dairy Farming
In: Journal of Organizational Computing and Electronic Commerce (JOCEC), Issue on Business Intelligence and Analytics Case Studies, Vol. 28, No. 2, Taylor & Francis, ISSN 1091-9392, Online ISSN 1532-7744, DOI:, pp. 122-141, 2018.
C. Schütz, S. Schausberger, I. Kovacic, M. Schrefl:
Semantic OLAP Patterns: Elements of Reusable Business Analytics
In: Proceedings of the Confederated International Conferences On-the-Move 2017 (OTM 2017), October 23-27, 2017, Rhodes, Greece, Springer International Publishing, Lecture Notes in Computer Science (LNCS Vol. 10574), Print ISBN 978-3-319-69458-0, Online ISBN 978-3-319-69459-7, peer reviewed, pp. 318-336, 2017.
M. Wischenbart, S. Schausberger, C. Schütz, D. Tomic:
Data Integration and Analysis in Precision Dairy Farming: A Semantic Data Warehousing Approach
In: Proceedings of the International Workshop Linked Open Data in Agriculture (Conference Book of Abstracts), organisiert vom Deutschen Bundesministerium für Ernährung und Landwirtschaft, in Verbindung mit MACS G-20 (Agricultural Chief Scientists of G20 States), 27.-28.09.2017, Berlin, Deutschland, 2017.
S. Schausberger:
The Semantic Data Warehouse for the AgriProKnow Project
In: Proceedings des TDWI Award im Rahmen der Europäischen TDWI Konferenz von 26.-28.6.2017 in München, Link:, 2017.
S. Schausberger:
The Semantic Data Warehouse for the AgriProKnow Project: A First Prototype
(Master Thesis, 2016)
2015 - 2018AgriProKnow - Information Management in Precision Dairy Farming
Funding:Bundesministerium für Verkehr, Innovation und Technologie