Assoz. Univ.-Prof. Mag. Dr. Christoph Schütz

Christoph Schütz

University Assistant

Deputy Head

Personal website: christoph.schuetz.ws
M. Vukadinovic, B. Reiterer, M. Rathmair, C. Schütz:
Anomaly Detection in Robot Applications: Comparison of Rule-Based and Machine Learning Methods
In: Proceedings of the 9th International Conference on Control, Robotics and Cybernetics (CRC 2024), Penang, Malaysia, November 21-23, 2024, IEEE Press, 2024.
M. Luketina, C. Schütz, T. Wageneder:
An Experimental Evaluation of the Capability of Large Language Models to Reason About Value-Added Tax Cases in Austrian Tax Law
In: Proceedings of the 2024 Pre-ICIS SIGDSA Symposium, Bangkok, Thailand, December 14-15, 2024, Association for Information Systems (AIS), 2024.
S. Gruber, P. Feichtenschlager, C. Fabianek, E. Gringinger, C. Schütz:
Towards a Heuristic Optimizer for a Target Time Management System in Air Traffic Flow Management
In: Proceedings of the 43rd AIAA DATC/IEEE Digital Avionics Systems Conference (DASC 2024), San Diego, CA, USA, September 29 - October 3, 2024, 10 pages, DOI: https://doi.org/10.1109/DASC62030.2024.10749250, Best Paper in Session (Poster Session 1 – ATM, CNS, CSS), 2024.
S. Gruber, P. Feichtenschlager, C. Schütz:
Using Genetic Algorithms for Privacy-Preserving Optimization of Multi-Objective Assignment Problems in Time-Critical Settings: An Application in Air Traffic Flow Management
In: Proceedings of the ACM Genetic and Evolutionary Computation Conference 2024 (GECCO 2024), Melbourne, Australia, July 14-18, 2024, ACM Press, DOI: https://doi.org/10.1145/3638529.3654128, pp. 1246-1254, 2024.
S. Staudinger, C. Schütz, M. Schrefl:
A Reference Process for Assessing the Reliability of Predictive Analytics Results
In: Journal Springer Nature Computer Science (SNCS), Editors: Slimane Hammoudi and Christoph Quix, Volume 5, Article No. 563, Springer Verlag, 27 pages, ISSN (electr.): 2661-8907, DOI: https://doi.org/10.1007/s42979-024-02892-4, 2024.
G. Van Bree, S. Staudinger, F. Burgstaller, F. Schiff, C. Schütz:
Using Machine Learning to Identify Incorrect Value-Added Tax Reports
In: Proceedings of the 30th Americas Conference on Information Systems (AMCIS 2024), Salt Lake City, Utah, August 15-17, 2024, Association for Information Systems (AIS), 2024.
E. Ganic, C. Schütz, S. Staudinger:
Current ANSP Practices Towards Reducing the Environmental Impact of Air Traffic Operations
In: Proceedings of the 13th International Conference on Innovation in Aviation and Space for opening New Horizons (EASN 2023), Salerno, Italy, September 5-8, 2023, Abstract, 1 page, 2023.
S. Staudinger, C. Schütz, M. Schrefl:
Using Multilevel Business Artifacts for Knowledge Management in Analytics Projects
In: Proceedings of the 10th International Workshop on Multi-Level Modeling (MULTI 2023) in conjunction with the 26th International Conference on Model Driven Engineering Languages and Systems (MODELS 2023), October 1-6, 2023, Västeras, Sweden, Website MULTI: https://jku-win-dke.github.io/MULTI2023/, IEEE Press, pp. 689-698 (10 pages), DOI:10.1109/MODELS-C59198.2023.00110, 2023.
K. Schütz, C. Schütz, S. Jaburek:
Privacy-Preserving Implementation of Local Search Algorithms for Collaboratively Solving Assignment Problems in Time-Critical Contexts
In: Proceedings of the IEEE 2023 Congress on Evolutionary Computation (CEC 2023), Chicago, IL, U.S.A., July 1-5, 2023, IEEE Press, 10 pages, ISBN 979-8-3503-1458-8, DOI: 10.1109/CEC53210.2023.10253978, 2023.
P. Feichtenschlager, K. Schütz, S. Jaburek, C. Schütz, E. Gringinger:
Privacy-Preserving Implementation of an Auction Mechanism for ATFM Slot Swapping
In: Proceedings of the 23rd Integrated Communications, Navigation and Surveillance Conference (ICNS 2023), Washington D.C., U.S.A., April 18-20, 2023, IEEE Press, 12 pages, DOI: 10.1109/ICNS58246.2023.10124262, 2023. Publication received Best Student Paper Award.
E. Ganic, S. Staudinger, C. Schütz, C. Vinueza:
Using Service-Level Mobile Internet Traffic Data to Estimate Noise Impact of Flight Trajectories on the Population
In: NetMob 2023 Data Challenge, October 4-6, 2023, Universidad Carlos III de Madrid, Spain, NetMob 2023 Book of Abstracts, 2 pages, 2023.
C. Schütz, M. Selway, S. Thalmann, M. Schrefl:
Discovering Actionable Knowledge for Industry 4.0: From Data Mining to Predictive and Prescriptive Analytics
In: Buchkapitel. Digital Transformation - Core Technologies and Emerging Topics from a Computer Science Perspective. Editoren: Birgit Vogel-Heuser, Manuel Wimmer, Springer Vieweg Berlin, Heidelberg, ISBN: 978-3-662-65003-5, DOI: https://doi.org/10.1007/978-3-662-65004-2_14, pp. 337-362, 2023.
C. Schütz, M. Schrefl:
Conceptualizing Analytics: An Overview of Business Intelligence and Analytics from a Conceptual-Modeling Perspective
In: Buchkapitel. Digital Transformation - Core Technologies and Emerging Topics from a Computer Science Perspective. Editoren: Birgit Vogel-Heuser, Manuel Wimmer, Springer Vieweg Berlin, Heidelberg, ISBN: 978-3-662-65003-5, DOI: https://doi.org/10.1007/978-3-662-65004-2_13, pp. 311-336, 2023.
C. Schütz, S. Jaburek:
Specification of Evolutionary Algorithm under Constraints Post-Filtering/Ordering (EU-H2020-Project SlotMachine)
Institute report SLOTMACHINE D4.2, December 2022.
C. Schütz, S. Jaburek:
Report on State-of-the-Art of Relevant Concepts (EU-H2020-Project SlotMachine)
Institute report SLOTMACHINE D4.1, July 2022.
M. Carre, E. Gringinger, C. Schütz, T. Lorünser:
Exploitation Plan and Return on Investment Analysis (EU-H2020-Project SlotMachine)
Institute report SLOTMACHINE D5.2, December 2022.
C. Schütz, T. Lorünser, T. Obritzhauser, C. Fabianek, E. Gringinger:
Requirements Specification (EU-H2020-Project SlotMachine)
Institute report SLOTMACHINE D2.1, October 2022.
C. Schütz, T. Lorünser, T. Obritzhauser, C. Fabianek, E. Gringinger:
System Design Document (EU-H2020-Project SlotMachine)
Institute report SLOTMACHINE D2.2, December 2022.
B. Neumayr, C. Schütz, M. Schrefl:
Dual Deep Modeling of Business Processes: A Contribution to the Multi-Level Process Challenge
In: Journal Enterprise Modelling and Information Systems Architectures - International Journal of Conceptual Modeling (EMISA), Special Issue on Multi-Level Modeling Process Challenge, Volume 17, No. 7, German Informatics Society (GI), ISSN 1866-3621, DOI: https://doi.org/10.18417/emisa.17.7, 31 pages, 2022.
C. Schütz, S. Ruiz, E. Gringinger, C. Fabianek, T. Lorünser:
An Auction-Based Mechanism for a Privacy-Preserving Marketplace for ATFM Slots
In: Proceedings of the 33rd Congress of the International Council of the Aeronautical Sciences (ICAS 2022), Stockholm, Sweden, September 4-9, 2022, ISSN 2958-4647, 14 pages, 2022.
C. Schütz, T. Lorünser, S. Jaburek, K. Schütz, F. Wohner, R. Karl, E. Gringinger:
A Distributed Architecture for Privacy-Preserving Optimization Using Genetic Algorithms and Multi-party Computation
In: Proceedings of the International Conference on Cooperative Information Systems (CoopIS 2022), Bozen, Italy, October 4-7, 2022. Collocated with EDOC 2022. Editoren: Sellami, M., Ceravolo, P., Reijers, H.A., Gaaloul, W., Panetto, H., Springer Verlag, Lecture Notes in Computer Science (LNCS), Vol. 13591, DOI: https://doi.org/10.1007/978-3-031-17834-4_10, ISBN 978-3-031-17833-7, pp. 168-185, 2022.
E. Gringinger, S. Ruiz, C. Schütz:
Business and Economic Concepts for a Privacy-Preserving Marketplace for ATFM Slots
In: Proceedings of the 22nd Integrated Communications, Navigation and Surveillance Systems Conference (ICNS 2022), Washington D.C., U.S.A., April 5-7, 2022, IEEE Press, ISBN: 978-1-6654-8419-0, DOI: 10.1109/ICNS54818.2022.9771484, 8 pages, 2022.
I. Kovacic, C. Schütz, B. Neumayr, M. Schrefl:
OLAP Patterns: A Pattern-Based Approach to Multidimensional Data Analysis
In: Journal Data & Knowledge Engineering, Vol. 138, March 2022, Elsevier Publishing, ISSN 0169-023X, Article: 101948, DOI: https://doi.org/10.1016/j.datak.2021.101948, 2021.
M. Luketina, T. Mathy, S. Staudinger, C. Schütz, M. Stadlbauer, I. Kuci:
Predictive Analytics in der öffentlichen Verwaltung: Rechtliche und technische Aspekte, aktuelle Anwendungsfälle, Problembereiche und Möglichkeiten
In: Zeitschrift für Energie- und Technikrecht (ZTR), Heft 4/2021, Pedell Wissenschaftsverlag, ISSN 2224-6819, Hrsg.: Andreas Hauer, pp. 150-160, 2021.
C. Schütz, E. Gringinger, N. Pilon, T. Lorünser:
A Privacy-Preserving Marketplace for Air Traffic Flow Management Slot Configuration
In: Proceedings of the 40th Digital Avionics Systems Conference (DASC 2021), San Antonio, Texas, USA, October 3-7, 2021, IEEE Press, ISBN 978-1-6654-3420-1/21, DOI: 10.1109/DASC52595.2021.9594401, 2021.
B. Neumayr, C. Schütz, E. Gringinger, C. Fabianek, A. Vennesland, M. Schrefl, S. Wilson:
Providing Packages of Relevant ATM Information: An Ontology-based Approach
In: Journal of Air Transport Management, Vol 90, Jan. 2021, Elsevier Science Publ., Article 101937, ISSN: 0969-6997, DOI: https://doi.org/10.1016/j.jairtraman.2020.101937, 2021.
B. Neumayr, E. Gringinger, D. Steiner, C. Schütz, M. Schrefl:
Einsatz semantischer Technologien für die Informationsbereitstellung in der Flugsicherung
In: Semantische Datenintelligenz im Einsatz, Hrsg.: Börtecin Ege, Adrian Paschke, Springer Verlag/Vieweg, ISBN 978-3-658-31937-3, DOI: https://doi.org/10.1007/978-3-658-31938-0, pp. 65-86, 2021.
T. Lorünser, C. Schütz, E. Gringinger:
SlotMachine - A Privacy-preserving Marketplace for Slot Management
In: ERCIM News, Vol. 126, Special Issue on Privacy Preserving Computation, July 2021, ERCIM EEIG (https://ercim-news@ercim.eu), ISSN 0926-4981, 2 pages, 2021.
L. Wang, C. Schütz, D. Cai:
Choosing response strategies in social media crisis communication: An evolutionary game theory perspective
In: Journal Information & Management, Vol. 58, No. 6, Sep. 2021, Elsevier Science Publ., Article 103371, ISSN 0378-7206, DOI: https://doi.org/10.1016/j.im.2020.103371, 2021.
S. Staudinger, C. Schütz, M. Schrefl:
A Reference Process for Judging Reliability of Classification Results in Predictive Analytics
In: Proceedings of the 10th International Conference on Data Science, Technology and Applications (DATA 2021), July 6-8, 2021, SciTePress/Springer, ISBN 978-989-758-521-0, ISSN 2184-285X, presented at DATA 2021, Online, pp. 124-134, 2021.
M. Hilal, C. Schütz:
Semantic Web Analysis Graphs: Guided Multidimensional Analysis of Linked Open Data
In: Proceedings of the 27th Americas Conference on Information Systems (AMCIS 2021), August 9-13, 2021, Montreal, Canada, AIS Publ., 10 pages, 2021.
C. Schütz, L. Bozzato, B. Neumayr, M. Schrefl, L. Serafini:
Knowledge Graph OLAP: A Multidimensional Model and Query Operations for Contextualized Knowledge Graphs
In: Semantic Web Journal, Vol 12, No. 4, IOS Press, ISSN 1570-0844, DOI: 10.3233/SW-200419, pp. 649-683, 2021.
C. Schütz, L. Bozzato, B. Neumayr, M. Schrefl, L. Serafini:
Knowledge Graph OLAP: Appendix
Techn. Report, Appendix to the article "Knowledge Graph OLAP: A Multidimensional Model and Query Operations for Contextualized Knowledge Graphs", for details please refer to: http://kg-olap.dke.uni-linz.ac.at/appendix, 2020.
C. Schütz:
Conceptualizing Analytics: Kumulative Habilitationsschrift zur Erlangung der Lehrbefugnis im Fach Wirtschaftsinformatik
Habilitationsschrift, ausgeführt am Institut für Wirtschaftsinformatik - Data & Knowledge Engineering der Johannes Kepler Universität Linz (JKU), November 2020.
S. Gruber, B. Neumayr, C. Fabianek, E. Gringinger, C. Schütz, M. Schrefl:
Towards Informed Watermarking of Personal Health Sensor Data for Data Leakage Detection
In: Proceedings of the 19th International Workshop on Digital-forensics and Watermarking (IWDW 2020), Nov 25-27, 2020, Melbourne, Australia, Editor(s): X. Zhao, Y.-Q. Shi, A. Piva, H. J. Kim, Springer Verlag, Lecture Notes in Computer Science (LNCS Vol, 12617), ISBN ISBN: 978-3-030-69449-4, DOI: https://doi.org/10.1007/978-3-030-69449-4, 2020.
M. Bardach, E. Gringinger, M. Schrefl, C. Schütz:
Predicting Flight Delay Risk Using a Random Forest Classifier Based on Air Traffic Scenarios and Environmental Conditions
In: Proceedings of the 2020 AIAA/IEEE 39th Digital Avionics Systems Conference (DASC), October 11-15, 2020, San Antonio, Texas, U.S.A., IEEE Computer Society, DOI: 10.1109/DASC50938.2020.9256474, 2020.
L. Bozzato, C. Schütz:
Towards Distributed Contextualized Knowledge Repositories for Analysis of Large-Scale Knowledge Graphs
In: Proceedings of the 35th Italian Conference on Computational Logic (CILC 2020), October 13-15, 2020, Rende, Italy, CEUR-WS.org, Vol. 2710, pp. 82-90, 2020.
L. Wang, C. Schütz:
A Dynamic Game Model of Crisis Communication on Social Media
In: Proceedings of the Pacific-Asia Conference on Information Systems (PACIS 2019), Xi’an, Volksrepublik China, 8.-12. Juli 2019.
A. Vennesland, R. Keller, C. Schütz, E. Gringinger, B. Neumayr:
Matching Ontologies for Air Traffic Management: A Comparison and Reference Alignment of the AIRM and NASA ATM Ontologies
In: Proceedings of the 14th International Workshop on Ontology Matching (OM 2019), Auckland, October 26th, 2019 collocated with the 18th International Semantic Web Conference (ISWC 2019), Owen G. Glenn Building, The University of Auckland, Auckland, New Zealand, 2019.
E. Gringinger, C. Fabianek, C. Schütz, B. Neumayr:
SlotMachine: A Privacy-Preserving Marketplace for Slot Management
In: Proceedings of the SESAR Innovation Days 2019, Athens, Greece, December 2-5, Extended abstract, 2019.
C. Schütz, B. Neumayr, M. Schrefl, E. Gringinger, S. Wilson:
Semantics-based summarisation of ATM information: Managing information overload in pilot briefings using semantic data containers
In: The Aeronautical Journal, Vol. 123, Issue 1268, Cambridge University Press, Royal Aeronautical Society, ISSN 0001-9240, DOI: https://doi.org/10.1017/aer.2019.74, open access, 27 pages, pp. 1639-1665, 2019.
N. Ashrafi, L. Daniel, J.-P. Kuilboer, C. Schütz:
An Integrated Framework to Examine Mobile Users' Pathway from Threat Cognition to Action
In: Proceedings of the 7th International Symposium on Digital Forensics and Security (ISDFS 2019), Barcelos, Portugal, June 10-12, 2019, IEEE Press doi: 10.1109/ISDFS.2019.8757556, pp. 1-5, 2019
E. Gringinger, R. Keller, C. Schütz, A. Vennesland, B. Neumayr:
A Comparative Study of Two Complex Ontologies in Air Traffic Management
In: Proceedings of the 38th Digital Avionics Systems Conference (DASC 2019), San Diego, CA, USA, 8-12 September 2019, IEEE Computer Society, 9 pages, 2019.
C. Schütz, B. Neumayr, M. Schrefl:
Techniques for ontology-based data description and discovery in a decentralized SWIM knowledge base
Technical Report, Projekt BEST, Deliverable 2.1
C. Schütz, B. Neumayr, M. Schrefl, E. Gringinger:
Ontology-based techniques for data distribution and consistency management in a SWIM environment
Technical Report, Projekt BEST, Deliverable 2.2
A. Vennesland, B. Neumayr, C. Schütz, A. Savulov:
Experimental ontology modules formalising concept definition of ATM data
Technical Report, Projekt BEST, Deliverable 1.1
A. Vennesland, B. Neumayr, C. Schütz, E. Gringinger:
AIRM Compliance Validator
Technical Report, Projekt BEST, Deliverable 1.2
G. Brataas, B. Neumayr, C. Schütz, A. Vennesland:
Scalability Guidelines for Semantic SWIM-based Applications
Technical Report, Projekt BEST, Deliverable 5.1
G. Brataas, B. Neumayr, C. Schütz, A. Vennesland:
Towards Scalability Guidelines for Semantic Data Container Management
In: Companion of the 2018 ACM/SPEC International Conference on Performance Engineering (ICPE 2018), April 9-13, 2018, Berlin, Germany, ACM Press, ISBN 978-1-4503-5629-9, DOI: 10.1145/3185768.3186302, pp. 17-20, 2018.
E. Gringinger, C. Schütz, B. Neumayr, M. Schrefl, S. Wilson:
Towards a value-added Information Layer for SWIM: The Semantic Container Approach
In: Proceedings of the IEEE Integrated Communications, Navigation and Surveillance Conference (ICNS 2018), April 10-12, 2018, Westin Washington Dulles Airport, Herndon, VA, U.S.A., 14 pages, ISBN: 978-1-5386-5680-8, DOI:10.1109/ICNSURV.2018.8384870, 2018. The publication received best paper award.
B. Neumayr, C. Schütz, M. Jeusfeld, M. Schrefl:
Dual deep modeling: multi-level modeling with dual potencies and its formalization in F-Logic
In: Journal Software & Systems Modeling (SoSyM), Vol. 17, No. 1, Springer Verlag, ISSN 1619-1366, ISSN Online 1619-1374 (first online 2016, ehm. Neum16a), DOI: https://doi.org/10.1007/s10270-016-0519-z, pp. 233-268, 2018.
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: http://ceur-ws.org/Vol-2083/paper-11.pdf, pp. 67-74, 2018.
M. Hilal, C. Schütz, M. Schrefl:
Using superimposed multidimensional schemas and OLAP patterns for RDF data analysis
In: Open Computer Science Journal, Vol. 8, No. 1, Editor: Egon van den Broek, De Gruyter, ISSN 2299-1093, DOI: 10.1515/comp-2018-0003, pp. 18-37, Download PDF: https://doi.org/10.1515/comp-2018-0003, 2018.
B. Neumayr, C. Schütz:
Multilevel Modeling
In: Encyclopedia of Database Systems, Editors: Ling Liu, Prof. M. Tamer Özsu, Springer Verlag, New York, Print ISBN: 978-1-4614-8266-6, Online ISBN: 978-1-4614-8265-9, DOI: https://doi.org/10.1007/978-1-4614-8265-9_80807, pp. 2337-2344, 2018.
C. Schütz, E. Mair, M. Schrefl:
PESTEL Modeler: Strategy Analysis Using MetaEdit+, iStar 2.0, and Semantic Technologies
In: Proceedings of the 2018 IEEE 22nd International Enterprise Distributed Object Computing Workshop (EDOCW), October 16-19, 2018, Stockholm, Schweden, IEEE Press, ISBN: 978-1-5386-4141-5, ISSN: 2325-6583, DOI: 10.1109/EDOCW.2018.00040, pp. 216-219, 2018.
C. Schütz, B. Neumayr, M. Schrefl, E. Gringinger, A. Vennesland, S. Wilson:
The Case for Contextualized Knowledge Graphs in Air Traffic Management
In: Proceedings of the 1st International Workshop on Contextualized Knowledge Graphs (CKG 2018), co-located with the 17th International Semantic Web Conference (ISWC 2018), October 8-12, 2018, Monterey, CA, U.S.A., CEUR Workshop Proceedings, 2018.
E. Gringinger, C. Fabianek, C. Schütz, J. Stöbich, B. Neumayr, M. Schrefl:
A Proof-of-Concept Implementation of a Semantic Container Management System for Air Traffic Management
In: Proceedings of the EDAW 2018 Posters and Demonstrations Session co-located with 21st International Conference on Knowledge Engineering and Knowledge Management (EKAW 2018), November 12-16, 2018, Nancy, France, Editors: Philipp Cimiano, Olivier Corby, CEUR digital Workshop Proceedings (Vol. 2262), ceur-ws.org, ISSN 1613-0073, pp. 69-72, Download PDF: http://ceur-ws.org/Vol-2262/ekaw-demo-25.pdf, 2018.
A. Vennesland, J. Gorman, S. Wilson, B. Neumayr, C. Schütz:
Automated Compliance Verification in ATM Using Principles from Ontology Matching
In: Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2018), Volume 2: KEOD, September 18-20, 2018, Seville, Spain, SciTePress, ISBN 978-989-758-330-8, 2018, pp. 39-50, The publication received Best Paper Award, 2018.
C. Schütz, B. Neumayr, M. Schrefl, E. Gringinger, S. Wilson:
Semantics-Based Summarization of ATM Data to Manage Information Overload in Pilot Briefings
In: Proceedings of the 31st Congress of the International Council of the Aeronautical Sciences (ICAS 2018), September 09-14, 2018, Belo Horizonte, Brazil, Download URL: http://icas.org/ICAS_ARCHIVE/ICAS2018/data/papers/ICAS2018_0763_paper.pdf, 2018.
E. Gringinger, C. Fabianek, C. Schütz, B. Neumayr, M. Schrefl, A. Vennesland, S. Wilson:
The Semantic Container Approach: Techniques for ontology-based data description and discovery in a decentralized SWIM knowledge base
In: Proceedings of the SESAR Innovation Days 2018 (SID 2018), December 3-7, 2018, Salzburg, Austria, 7 pages, Download URL: https://www.sesarju.eu/sites/default/files/documents/sid/2018/papers/SIDs_2018_paper_78.pdf, 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: http://doi.org/10.1080/10919392.2018.1444344, 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.
B. Neumayr, E. Gringinger, C. Schütz, M. Schrefl, S. Wilson, A. Vennesland:
Semantic Data Containers for Realizing the Full Potential of System Wide Information Management
In: Proceedings of the 36th Digital Avionics Systems Conference (DASC 2017), September 17-21, 2017, St. Petersburg, Florida, USA, IEEE Press, Online: http://ieeexplore.ieee.org/document/8102002/, pp. 1-10, 2017.
F. Burgstaller, B. Neumayr, C. Schütz, M. Schrefl:
Modification Operations for Context-Aware Business Rule Management
In: Proceedings of the 21st IEEE International Enterprise Distributed Object Computing Conference (EDOC 2017), 10-13 Oktober 2017, Québec City, Kanada. IEEE Computer Society, 2017, pp. 194–203, 10 Seiten.
E.-M. Hopfgartner, C. Schütz, M. Schrefl:
A Case Study of Success Factors for Data Warehouse Implementation and Adoption in Sales Planning
In: Proceedings of the 23rd Americas Conference on Information Systems (AMCIS 2017), August 10-12, 2017, Boston, Mass., U.S.A., Association for Information Systems (AIS), Online: http://aisel.aisnet.org/amcis2017/DataScience/Presentations/34/, open access, peer reviewed, 12 pages, 2017.
I. Kovacic, D. Steiner, C. Schütz, B. Neumayr, F. Burgstaller, M. Schrefl, S. Wilson:
Ontology-Based Data Description and Discovery in a SWIM Environment
In: Proceedings of the 2017 Integrated Communications, Navigation and Surveillance Conference (ICNS 2017), April 18-20, 2017, Washington D.C., USA, IEEE Computer Society Press, 13 pages, Best Paper in Track 5 - Special Topics/Other, pp. 5A4-1-5A4-13, 2017.
C. Schütz, M. Schrefl:
Towards Formal Strategy Analysis with Goal Models and Semantic Web Technologies
In: Proceedings on Advances in Conceptual Modeling - ER 2017 Workshops AHA, MoBiD, MREBA, OntoCom, and QMMQ, Valencia, Spain, November 6-9, 2017, Springer Verlag, Lecture Notes in Computer Science (LNCS Vol 10651), Print ISBN 978-3-319-70624-5, Online ISBN 978-3-319-70625-2, peer reviewed, pp. 144-153, 2017.
M. Hilal, C. Schütz, M. Schrefl:
An OLAP Endpoint for RDF Data Analysis Using Analysis Graphs
In: Proceedings of the 16th International Semantic Web Conference (ISWC 2017) – Posters and Demonstrations and Industry Tracks co-located with 16th International Semantic Web Conference (ISWC 2017), October 23rd - 25th, 2017, Vienna, Austria, CEUR Workshop Proceedings, Vol. 1963, Online at: http://ceur-ws.org/Vol-1963/paper515.pdf, open access, peer reviewed, 2017.
F. Burgstaller, C. Schütz, B. Neumayr, D. Steiner, M. Schrefl:
Towards Contextualized Rule Repositories for the Semantic Web
In: Joint Proceedings of the Web Stream Processing Workshop (WSP 2017) and the 2nd International Workshop on Ontology Modularity, Contextuality, and Evolution (WOMoCoE 2017) co-located with 16th International Semantic Web Conference (ISWC 2017), October 21-25, 2017 (Oct. 22nd, 2017), Vienna, Austria, CEUR Workshop Proceedings, Vol. 1936, Online: http://ceur-ws.org/Vol-1936/paper-09.pdf, open Access, peer reviewed, pp. 98-109, 2017.
B. Neumayr, C. Schütz, C. Horner, M. Schrefl:
DeepRuby: Extending Ruby with Dual Deep Instantiation
In: Proceedings of the 4th International Workshop on Multi-Level Modelling (MULTI 2017), co-located with the ACM/IEEE 20th International Conference on Model Driven Engineering Languages and Systems (MODELS 2017), MODELS (Satellite Events), September 17-22, 2017, Austin, Texas, USA, CEUR Workshop Proceedings, Vol. 2019, Online: http://ceur-ws.org/Vol-2019/multi_7.pdf, open Access, peer reviewed, pp. 252-260, 2017.
M. Hilal, C. Schütz, M. Schrefl:
Superimposed Multidimensional Schemas for RDF Data Analysis
In: Proceedings of the IEEE 14th International Scientific Conference on Informatics (Informatics 2017), November 14–16, 2017, Poprad, Slovakia, 7 pages, 2017.
B. Neumayr, C. Schütz:
Multilevel Modeling
In: Encyclopedia of Database Systems, Editors: Ling Liu, Prof. M. Tamer Özsu, Springer Verlag, New York, Print ISBN: 978-1-4899-7993-3, Online ISBN: 978-1-4899-7993-3, 8 pages, 2017.
N. Ashrafi, J.-P. Kuilboer, C. Schütz:
Cyber Security, Technology, and Privacy Regulation in the Digital Age
In: Proceedings of the 22nd Americas Conference on Information Systems (AMCIS 2016), August 11-14, 2016, San Diego, CA, U.S.A., ISBN 978-0-9966831-2-8, 2016.
C. Schütz, I. Spörl, M. Schrefl:
Design, Management, and Customization of Data Analysis Reference Models Using Indyco Builder and XQuery
In: Proceedings of 20th IEEE International Enterprise Distributed Object Computing Conference - Workshops and Demonstrations, September 5-9, 2016, Vienna, Austria, 2016.
C. Schütz, B. Neumayr, M. Schrefl, T. Neuböck:
Reference Modeling for Data Analysis: The BIRD Approach
In: International Journal of Cooperative Information Systems (IJCIS), Volume 25, Issue 2, June 2016, World Scientific Publ., ISSN 0218-8430, 2016.
N. Ashrafi, J.-P. Kuilboer, C. Schütz:
Health Informatics: Educational Programs for Clinical and Non-Clinical Workforce
In: Proceedings of the 22nd Americas Conference on Information Systems (AMCIS 2016), August 11-14, 2016, San Diego, CA, U.S.A., ISBN 978-0-9966831-2-8, 2016.
C. Schütz:
Multilevel Business Processes: Modeling and Data Analysis
(PhD Thesis, 2015)
Dissertation: Betreuung: o. Univ.-Prof. Dr. Michael Schrefl, Mitbetreuung: Dr. Bernd Neumayr
B. Neumayr, C. Schütz, M. Schrefl:
Towards Ontology-Driven RDF Analytics
In: Advances in Conceptual Modeling, Proceedings ER 2015 Workshops, AHA, CMS, EMoV, MoBiD, MORE-BI, MReBA, QMMQ, and {SCME}, Ed.: Manfred A. Jeusfeld, Kamalakar Karlapalem, Stockholm, Sweden, October 19-22, 2015, Springer Verlag, Lecture Notes in Computer Science (LNCS Vol. 9382), ISBN 978-3-319-25746-4, pp. 210-219, 2015.
C. Schütz, J. Roth, B. Neumayr, M. Schrefl:
An OLAP Client for Hetero-Homogeneous Data Warehouses
In: Proceedings Enterprise Distributed Object Computing Workshop (EDOCW) at 19th IEEE Conference on Enterprise Computing Conference (EDOC 2015), 22.-25. September 2015, Adelaide, Australia, Demo paper and poster presentation, pp. 140-143, 2015.
C. Schütz, B. Neumayr, M. Schrefl:
Multilevel Modeling for Business Process Automation
In: Proceedings of the 2015 IEEE 19th International Enterprise Distributed Object Computing Workshop (EDOCW), 8th International Workshop on Evolutionary Business Processes (EVL-BP 2015) in conjunction with the 19th IEEE Conference on Enterprise Computing Conference (EDOC 2015), 22.-25. September 2015, Adelaide, Australia, pp. 51-60, 2015.
A. Bögl, M. Karlinger, C. Schütz, M. Schrefl, G. Pomberger:
Exploiting Semantic Activity Labels to Facilitate Consistent Specialization of Abstract Process Activities
In: Proceedings of the 41st International Conference on Current Trends in Theory and Practice of Computer Science (SOFSEM 2015), Pec pod Snezkou, Czech Republic, January 24-29, 2015, Editor(s): G. F. Italiano et al., Springer Verlag, Lecture Notes in Computer Science (LNCS Vol. 8939), pp. 475-485, 2015.
C. Schütz:
Multilevel Business Processes: Modeling and Data Analysis
Dissertation, Springer Verlag/Vieweg, Wiesbaden. ISBN 978-3-658-11083-3, 232 Seiten, 2015.
C. Schütz, M. Schrefl:
Customization of Domain-Specific Reference Models for Data Warehouses
In: Proceedings of the 2014 IEEE 18th International Enterprise Distributed Object Computing Conference (IEEE EDOC 2014), Ulm, Germany, 1.-5. September 2014, IEEE, 2014.
B. Neumayr, M. Jeusfeld, M. Schrefl, C. Schütz:
Dual Deep Instantiation and Its ConceptBase Implementation
In: Proceedings of the 26th International Conference on Advanced Information Systems Engineering (CAiSE 2014), June 16-20, 2014, Thessaloniki, Greece, Springer Verlag, Lecture Notes in Computer Science (LNCS), Vol. 8484, ISBN 978-3-319-0788-09, pp. 503-517, 2014.
T. Neuböck, B. Neumayr, M. Schrefl, C. Schütz:
Ontology-driven Business Intelligence for Comparative Data Analysis
In: Business Intelligence - Proceedings of the Third European Business Intelligence Summer School (eBISS 2013), Schloss Dagstuhl, Wadern, Germany, July 7-12, 2013, Springer Verlag, Lecture Notes in Business Information Processing (LNBIP Vol. 172), Chapter 3, ISBN 978-3-319-05460-5, pp. 77-120, 2014.
C. Schütz, M. Schrefl:
Variability in Artifact-Centric Process Modeling: The Hetero-Homogeneous Approach
In: Proceedings of the 10th Asia-Pacific Conference on Conceptual Modelling (APCCM 2014), Auckland, New Zealand, January 2014, Conferences in Research and Practice in Information Technology (CRPIT), Vol. 154. Editors: Georg Grossmann and Motoshi Saeki, 2014.
B. Neumayr, C. Schütz, M. Schrefl:
Semantic Enrichment of OLAP Cubes: Multi-dimensional Ontologies and their Representation in SQL and OWL
In: On the Move to Meaningful Internet Systems, OTM 2013 Conferences, Proceedings of the 12th International Conference on Ontologies, DataBases, and Applications of Semantics (ODBASE 2013), Graz, Austria, September 10-12, 2013, Pieter De Leenheer, Deijing Dou (eds.), Springer Verlag, Lecture Notes in Computer Science (LNCS Vol. 8185), ISBN 978-3-642-41032-1, pp. 624-641, 2013.
C. Schütz, B. Neumayr, M. Schrefl:
Business Model Ontologies in OLAP Cubes
In: Proceedings of the 25th International Conference on Advanced Information Systems Engineering (CAiSE 2013), Valencia, Spain, June 17-21, 2013, Camille Salinesi et al. (editors), Springer Verlag, Lecture Notes in Computer Science (LNCS Vol. 7908), ISBN 978-3642387081, pp. 514-529, 2013.
C. Schütz, L. Delcambre, M. Schrefl:
Multilevel Business Artifacts
In: M. La Rosa and P. Soffer (Eds.): BPM 2012 Workshops, Proceedings of the Workshop on Data- and Artifact-centric BPM (DAB 2012), Tallinn, Estonia, September 3-6, 2012, Springer Verlag, Lecture Notes in Business Information Processing (LNBIP Vol. 132), pp. 304-315, 2012.
C. Schütz, B. Neumayr, M. Schrefl:
Integration and Reuse of Heterogeneous Information: Hetero-Homogeneous Data Warehouse Modeling in the Common Warehouse Metamodel
In: Proceedings of the 18th Americas Conference on Information Systems (AMCIS 2012), Seattle, Washington, August 9-11, 2012.
C. Schütz, M. Schrefl, L. Delcambre:
Multilevel Business Process Modeling: Motivation, Approach, Design Issues, and Applications
In: Aparna S. Varde, Fabian M. Suchanek (Eds.): Proceedings of the 5th Ph.D. Wokirshop on Information and Knowledge Management (PIKM 2012) at the ACM Conference on Information and Knowledge Management (CIKM 2012), Maui, Hawaii, U.S.A., October 29th - November 2nd, 2012, ACM Press, ISBN 978-1-4503-1719-1, pp. 91-94, 2012.
C. Schütz:
Hetero-homogene Data Warehouses
In: Zeitschrift BI-Spektrum, Nr. 5/2011, ISSN 1862-5789pp. 26-28, 2011.
C. Schütz, M. Schrefl, B. Neumayr, D. Sierninger:
Incremental Integration of Data Warehouses: The Hetero-Homogeneous Approach
In: Proceedings of the ACM Fourteenth International Workshop on Data Warehousing and OLAP (DOLAP 2011), Glasgow, Scotland, U.K., October 28, 2011, ISBN 978-1-4503-0963-9, pp. 25-30, 2011.
C. Schütz:
Extending data warehouses with hetero-homogeneous dimension hierarchies and cubes: A proof-of-concept prototype in Oracle
(Master Thesis, 2010)
Diplomarbeit, Betreuung: o. Univ.-Prof. Dr. Michael Schrefl, unter Anleitung von Mag. Bernd Neumayr, ausgeführt an der Universität Linz, Institut für Wirtschaftsinformatik - Data & Knowledge Engineering, Februar 2010.
A. Schröpfer, F. Kerschbaum, C. Schütz, R. Pibernik:
Optimizations for Risk-Aware Secure Supply Chain Master Planning
In: Journal of Universal Computer Science, Vol. 15, No. 15, ISSN 0948-695x, pp. 3019-3037, 2009.
2024 - 2025Jobsi - Natural Language Processing and Recommender Systems in Onlineplattformen
Funding:Land Oberösterreich
Commissioned by:Jobsi GmbHhttps://www.jobsi.at/
2024 - 2026AWARE - Achieving Human-Machine Collaboration with Artificial Situational Awareness
Funding:Europäische Union (EU), HORIZON Europe, Research and Innovation Actions, SESAR3 Joint Undertaking
2023 - 2026HARMONIsed network through smart technology and Collaboration (HARMONIC)
Funding:Europäische Union (EU), HORIZON Europe, Research and Innovation Actions, SESAR3 Joint Undertaking
2022 - 2024Research Collaboration Towards Greener Aviation (OeAD, WTZ Serbia)
Funding:OEAD - Austria's Agency for Education and Internationalisation
2020 - 2022eTutor++ - An adaptive e-learning system with personalized exercising tailored to students’ individual learning curves
Funding:JKU Business School
2020 - 2022AISA - AI Situational Awareness Foundation for Advancing Automation
Funding:EU Horizon 2020, SESAR JU
2020 - 2022SlotMachine - A Privacy-Preserving Marketplace for Slot Management
Funding:EU Horizon 2020, SESAR JU
2019 - 2020MyPCH - My Personal Connected Health
Funding:EU Horizon 2020, NGI_TRUST
2016 - 2018BEST - Achieving the BEnefits of SWIM by making smart use of Semantic Technologies
Funding:EU Horizon 2020
2015 - 2018AgriProKnow - Information Management in Precision Dairy Farming
Funding:Bundesministerium für Verkehr, Innovation und Technologie
2014 - 2017SemNOTAM: Ontology-based representation and semantic querying of Digital Notices to Airman
Funding:Bundesministerium für Verkehr, Innovation und Technologie
2013 - 2014Customization of Domain-Specific Reference Models for Data Warehouses
Funding:Bundesministerium für Verkehr, Innovation und Technologie
2011 - 2014SemCockpit - An Ontology-Driven, Interactive Business Intelligence Tool for Comparative Data Analysis
Funding:Bundesministerium für Verkehr, Innovation und Technologie
2010 - openHetero-Homogeneous Data Warehouses (HH-DW)
PhD thesis project: Christoph Schütz
M. Hilal:
Guided Multidimensional Analysis of RDF Data
(PhD Thesis, 2024)
Dissertation, ausgeführt am Institut für Wirtschaftsinformatik - Data & Knowledge Engineering, Betreuung: Assoz. Univ-Prof. Mag. Dr. Christoph Schütz, Mitbetreuung: o. Univ.-Prof. Dr. Michael Schrefl.
B. Aigner:
Geschäftsprozessmanagementsystem für mehrstufige Geschäftsprozesse auf Basis von Multilevel Business Artifacts
(Master Thesis, 2024)
Masterarbeit zur Erlangung des akademischen Grades Master of Science im Masterstudium Wirtschaftsinformatik
M. Vukadinovic:
Daten-Monitoring für Roboteranwendungen: Vergleich regelbasierter Methoden mit Methoden des maschinellen Lernens für die Anomalieerkennung
(Master Thesis, 2024)
Masterarbeit zur Erlangung des akademischen Grades Master of Science im Masterstudium Wirtschaftsinformatik
G. Van Bree:
Using Machine Learning to Identify Incorrect Value-Added Tax Reports
(Master Thesis, 2024)
Master Thesis to obtain the academic degree of Master of Science in the Master's Program Economic and Business Analytics (EBA).
P. Feichtenschlager:
Using Genetic Algorithms for Privacy-Preserving Multi-Objective Optimization of Flight Lists in Air Traffic Flow Management
(Master Thesis, 2024)
Diese Publikation ist bis 30.09.2026 gesperrt.
D. Zangerle:
Erhebung der aktuellen und geplanten Maßnahmen zur Reduzierung der Umwelteinflüsse des Flugverkehrs durch Flugsicherungsorganisationen
(Master Thesis, 2024)
M. Azuero:
Topic Modeling and Sentiment Analysis for Predicting the Direction of Movement of the S&P 500 Index Based on Financial News
(Master Thesis, 2024)
Master Thesis to obtain the academic degree of Master of Science in the Master's Program Economic and Business Analytics (EBA).
S. Haslinger:
Vorhersage von Gewährleistungsfällen bei Baggern der Wacker Neuson Linz GmbH mittels maschinellen Lernens unter Verwendung von Telematikdaten
(Master Thesis, 2024)
Diese Publikation ist bis 31.05.2029 gesperrt, da sie vertrauliche Informationen des kooperierenden Unternehmens beinhaltet.
T. Luu:
A recommender system for research papers in medicine at Bloom Diagnostics
(Master Thesis, 2023)
P. Badzura:
Design and Implementation of a web-based User Interface for the guided Assessment of Reliability of Classification Results using the Perturbation Approach
(Master Thesis, 2023)
F. Görner:
Design and Implementation of a Module for the Alpha Algorithm in the Learning Platform eTutor++
(Master Thesis, 2023)
J. Klar:
Implementing Query Operations for Knowledge Graph OLAP in Apache Spark
(Master Thesis, 2023)
D. Haunschmied:
A Cloud-Native Data Lakehouse Architecture for Big Knowledge Graph OLAP
(Master Thesis, 2022)
M. Weichselbaumer:
Ein Business Process Model Repository für die Automatisierung von mehrstufigen Geschäftsprozessen mit Multilevel Business Artifacts
(Master Thesis, 2020)
S. Überei:
Einbindung von IT-Consultants bei der Einführung von Business-Intelligence-Lösungen in Organisationen: Eine qualitative Untersuchung der Interaktionen externer und interner MitarbeiterInnen im Projektteam
(Master Thesis, 2020)
S. Staudinger:
Eine grafische Benutzungsschnittstelle für Online Analytical Processing auf Basis von Analysesituationen und inkrementellen Manipulationsoperationen
(Master Thesis, 2019)
L. Frieske:
Entwicklung eines Data-Cleaning-Prozesses für das Voestalpine Treasury
(Master Thesis, 2019)
M. Straßer:
Dialogbasierte Benutzungsschnittstelle für interaktive Datenanalyse in natürlicher Sprache
(Master Thesis, 2019)
J. Eder:
Eine empirische Studie zur Vertrauenswürdigkeit von Datenschutzrichtlinien österreichischer Online-Shops
(Master Thesis, 2019)
J. Stöbich:
A Proof-of-Concept Prototype of a Database Management System for Versioning and Distributed Storage of Semantic Containers in Project BEST
(Master Thesis, 2018)
A. Winter:
Einsatz des SharePoint-Workflow Managers zur Automatisierung des Bestell- und Konfigurationsprozesses von Software für Formgebungsmaschinen
(Master Thesis, 2018)
E. Mair:
PESTEL Modeler: Ein Werkzeug für die Strategische Umweltanalyse nach der PESTEL-Methode unter Verwendung von MetaEdit+, iStar 2.0 und Semantischen Technologien
(Master Thesis, 2018)
P. Helmberger:
Einsatz von RDF und SPARQL zur strategischen Analyse mit Geschäftsmodellontologien am Beispiel ausgewählter Fallstudien
(Master Thesis, 2017)
K. Kaiser:
Automatisierung von mehrstufigen Geschäftsprozessen mittels SCXML, XQuery und RestXQ
(Master Thesis, 2016)
M. Hochreiter:
Umsetzung ausgewählter Methoden für die quantitative und qualitative Analyse von mehrstufigen Geschäftsprozessen mittels XQuery: Ist- und What-If-Analyse der Duchlaufzeit sowie Fehler-Ursachen-Analyse
(Master Thesis, 2016)
S. Schausberger:
The Semantic Data Warehouse for the AgriProKnow Project: A First Prototype
(Master Thesis, 2016)
I. Spörl:
Erstellung, Verwaltung und Anpassung von Referenzmodellen für Data Warehouses unter Verwendung von Indyco Builder, BaseX und XQuery
(Master Thesis, 2016)
M. Schnepf:
An OLAP API for Cubes with Ontology-Valued Measures
(Master Thesis, 2015)
K.-H. Stöckler:
Prototypische Umsetzung der Automatisierung eines Prozesses für Nach- und Aufrüstung von Komponenten einer Formgebungsmaschine
(Master Thesis, 2015)
J. Roth:
Online Analytical Processing mit hetero-homogenen Data Warehouses: Prototypische Implementierung und Benutzerstudie
(Master Thesis, 2015)
T. Pecksteiner:
An Interpreter for a Data Definition and Query Language for Hetero-Homogeneous Data Warehouses
(Master Thesis, 2015)
A. Diwold:
Erweiterung von Protégé zur intuitiven Multi-Level Modellierung
(Master Thesis, 2015)
E.-M. Hopfgartner:
Einführung eines Data-Warehouse-Systems für die Vertriebsplanung am Beispiel der W&H Gruppe Fallstudie und vergleichende Analyse
(Master Thesis, 2015)
S. Stütz:
CassandraCrypt - Eine transparente clientseitige Verschlüsselung für Cassandra.
(Master Thesis, 2014)
D. Sierninger:
Integration von Data Marts in ein globales Data Warehouse mit hetero-homogenem Schema
(Master Thesis, 2011)
Diplomarbeit, Betreuung: o. Univ.-Prof. Dr. Michael Schrefl, unter Anleitung von Mag. Christoph Schütz, ausgeführt an der Universität Linz, Institut für Wirtschaftsinformatik - Data & Knowledge Engineering, Juni 2011.

Christoph Schütz teaches the following courses on a regular basis:

VLData WarehousingWinter term
UEData WarehousingWinter term
VOData MiningSummer term
UEData MiningSummer term