2025 |
- Torres, Edgar; Schiefer, Jonathan; Niepert, Mathias: Adaptive Physics-informed Neural Networks: A Survey. In: Transactions on Machine Learning Research, 2025. [PDF][DOI]
- Schuiki, Laura; Schreier, Ulf; Schwarz, Holger; Mitschang, Bernhard: A Data Product Classification by Technical and Machine Learning Aspects. In: Proceedings of the 36th International Conference on Database and Experts Systems Applications.
(Accepted and to be presented at DEXA 25.08-27.08.2025 in Bangkok in Thailand, to be published)
- Schuiki, Laura; Giebler, Corinna; Hoos, Eva; Schwarz, Holger: Unraveling Data Mesh: Current State, Challenges and Research Gaps. In: Proceedings of the 19th Advanced Summer School on Service Oriented Computing.
(Accepted and presented at SummerSoC 16.07-21.07.2025 on Crete, Greece, to be published)
- Schneider, Jan; Gröger, Christoph; Lutsch, Arnold; Schwarz, Holger; Mitschang, Bernhard: Architectures and Implementations of Data Lakehouses: Case Studies from Industrial Practice. In: Business Information Systems, BIS 2025, Lecture Notes in Business Information Processing, vol. 554, pp. 241 – 255, Springer Charm, 2025. [PDF] [DOI]
- Schneider, Jan; Schuiki, Laura; Giebler, Corinna; Lutsch, Arnold; Hoos, Eva; Schwarz, Holger: Data Products: Overcoming the Boundaries of Data Platforms to Facilitate Data Sharing in Enterprises. In: Datenbanksysteme für Business, Technologie und Web (BTW 2025), Bamberg, Germany, Industry Track, pp. 699 – 707, 2025. [PDF] [DOI]
- Laura Schuiki, Christoph Stach, Corinna Giebler, Eva Hoos, and Bernhard Mitschang. Enabling Trusted Data Sharing in Data Spaces: PROTON – A Privacy-by-Design Approach to Data Products. In Proceedings of the 11th International Conference on Information Systems Security and Privacy – Volume 1 (ICISSP ’25) (Porto, February 2025). Edited by Roberto Di Pietro, Karen Renaud, and Paolo Mori. ICISSP ’25, SciTePress, pages 95–106. isbn: 978-989-758-735-1
[DOI]
- F. Dzierzawa, D. Petrik, K. Stuber, S. Merz, L. Jaensch, G. Herzwurm, “Bad Data Quality Eats Ecosystem for Breakfast”, in Proceedings of the 58th Hawaii International Conference on System Sciences, 2025 [URL] [PDF]
- D. Petrik, F. Dzierzawa and K. Warthmann, “A Maturity Model for Digital Product Passports: A Design Science Study”, in IEEE Access, vol. 13, pp. 114575-114594, 2025 [DOI] [PDF]
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2024 |
- Giebler, Corinna; Gröger, Christoph; Hoos, Eva; Schwarz, Holger; Mitschang, Bernhard: Implementation Patterns for Zone Architectures in Enterprise-Grade Data Lakes. In: Proceedings of the 36th International Conference on Advanced Information Systems Engineering (CAiSE), Limassol, Cyprus, 2024. [DOI]
- Schneider, Jan; Lutsch, Arnold; Gröger, Christoph; Schwarz, Holger; Mitschang, Bernhard: First Experiences on the Application of Lakehouses in Industrial Practice. In: Proceedings of the 35th GI-Workshop on Foundations of Databases (Grundlagen von Datenbanken), Herdecke, Germany. CEUR Workshop Proceedings, vol. 3710, pp. 3 – 8, 2024. [PDF]
- Laura Schuiki. Concepts towards the Implementation of a Data Mesh in Industry Practice. PhD Forum at 18th Symposium and Summer School On Service-Oriented Computing. (Greece, June 2024)
- Schneider, Jan; Gröger, Christoph; Lutsch, Arnold; Schwarz, Holger; Mitschang, Bernhard: The Lakehouse: State of the Art on Concepts and Technologies. In: SN Computer Science, vol. 5, pp. 449 – 487, Springer Nature, 2024. [PDF] [DOI]
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2023 |
- Schneider, Jan; Gröger, Christoph; Lutsch, Arnold: The Data Platform Evolution: From Data Warehouses over Data Lakes to Lakehouses. In: Proceedings of the 34th GI-Workshop on Foundations of Databases (Grundlagen von Datenbanken), Hirsau, Germany. CEUR Workshop Proceedings, vol. 3714, 2023. [PDF]
- Gröger, Christoph; Schwarz, Holger; Härder, Theo: Editorial to the Special Issue “Managing Data and Metadata in Complex Enterprise Landscapes”. In: Datenbank-Spektrum, vol. 23, pp. 85 – 87, Springer, 2023. [DOI]
- Schneider, Jan; Gröger, Christoph; Lutsch, Arnold; Schwarz, Holger; Mitschang, Bernhard: Assessing the Lakehouse: Analysis, Requirements and Definition. In: Proceedings of the 25th International Conference on Enterprise Information Systems (ICEIS), Prague, Czech Republic, pp. 44 – 56, SciTePress, 2023. [PDF] [DOI]
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2022 |
- Eichler, Rebecca; Gröger, Christoph; Hoos, Eva; Stach, Christoph; Schwarz, Holger: Establishing the Enterprise Data Marketplace: Characteristics, Architecture, and Challenges. Presented at the Workshop on Data Science for Data Marketplaces (DSDM) in Conjunction with the 48th International Conference on Very Large Data Bases (VLDB), Sydney, Australia, 2022.
- Eichler, Rebecca; Gröger, Christoph; Hoos, Eva; Schwarz, Holger; Mitschang, Bernhard: From Data Asset to Data Product – The Role of the Data Provider in the Enterprise Data Marketplace. In: Proceedings of the 16th Symposium and Summer School On Service-Oriented Computing (SummerSOC), Crete, Greece, pp. 119 – 138, Springer, 2022. [DOI]
- Eichler, Rebecca; Gröger, Christoph; Hoos, Eva; Schwarz, Holger; Mitschang, Bernhard: Data Shopping – How an Enterprise Data Marketplace Supports Data Democratization in Companies. In: Proceedings of the 34th International Conference on Advanced Information Systems Engineering (CAiSE), Leuven, Belgium, pp. 19 – 26, Springer, 2022. [DOI]
- Gröger, Christoph: Industrial analytics – An overview. In: it – Information Technology, vol. 64, pp. 55 – 65, De Gruyter Oldenbourg, 2022. [DOI]
- Schneider, Jan: The Data Platforms Landscape: An Overview (Poster).
Presented at the 16th Symposium and Summer School On Service-Oriented Computing (SummerSOC), Crete, Greece, 2022. [PDF]
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2021 |
- Eichler, Rebecca; Giebler, Corinna; Gröger, Christoph; Hoos, Eva; Schwarz, Holger; Mitschang, Bernhard: Enterprise-Wide Metadata Management – An Industry Case on the Current State and Challenges. In: Proceedings of the 24th International Conference on Business Information Systems (BIS), Hannover, Germany, pp. 269 – 279, TIB Open Publishing, 2021. [DOI]
- Eichler, Rebecca; Giebler, Corinna; Gröger, Christoph; Schwarz, Holger; Mitschang, Bernhard: Modeling metadata in data lakes – A generic model. Data & Knowledge Engineering. In: Data & Knowledge Engineering (DKE), vol. 136, Elsevier, 2021. [DOI]
- Giebler, Corinna; Gröger, Christoph; Hoos, Eva; Eichler, Rebecca; Schwarz, Holger; Mitschang, Bernhard: The Data Lake Architecture Framework: A Foundation for Building a Comprehensive Data Lake Architecture. In: Proceedings of the 19th Conference for Database Systems for Business, Technology and Web (BTW), Dresden, Germany, pp. 351 – 370, Gesellschaft für Informatik, 2021. [DOI]
- Gröger, Christoph: There Is No AI Without Data. In: Communications of the ACM (CACM), vol. 64, pp. 98 – 108, ACM, 2021. [DOI]
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2020 |
- Eichler, Rebecca; Giebler, Corinna; Gröger, Christoph; Schwarz, Holger; Mitschang, Bernhard: HANDLE – A Generic Metadata Model for Data Lakes. In: Proceedings of the 22nd International Conference on Big Data Analytics and Knowledge Discovery (DaWaK), Bratislava, Slovakia, pp. 73 – 88, Springer, 2020. [DOI]
- Giebler, Corinna; Gröger, Christoph; Hoos, Eva; Eichler, Rebecca; Schwarz, Holger; Mitschang, Bernhard: Data Lakes auf den Grund gegangen. In: Datenbank-Spektrum, vol. 20, pp. 57 – 69, Springer, 2020. [DOI]
- Giebler, Corinna; Gröger, Christoph; Hoos, Eva; Schwarz, Holger; Mitschang, Bernhard: A Zone Reference Model for Enterprise-Grade Data Lake Management. In: Proceedings of the 24th IEEE Enterprise Computing Conference (EDOC), Eindhoven, Netherlands, pp. 57 – 66, Springer, 2020. [DOI]
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2019 |
- Giebler, Corinna; Gröger, Christoph; Hoos, Eva; Schwarz, Holger; Mitschang; Bernhard: Leveraging the Data Lake – Current State and Challenges. In: Proceedings of the 21st International Conference on Big Data Analytics and Knowledge Discovery (DaWaK), Linz, Austria, pp. 179 – 188, Springer, 2019. [DOI]
- Gröger, Christoph; Hoos, Eva: Ganzheitliches Metadatenmanagement im Data Lake: Anforderungen, IT-Werkzeuge und Herausforderungen in der Praxis. In: Proceedings of the 18th Conference for Database Systems for Business, Technology and Web (BTW), Rostock, Germany, pp. 435 – 452, Gesellschaft für Informatik, 2019. [DOI]
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