Publikationen

2025

• O. Azeroual, R. Fabre, U. Störl: Revolutionary Synergy: The Fusion of Data Mesh and Data Fabric for Strategy Analytics in GRAPHYP Knowledge Graph, Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2023, Communications in Computer and Information Science, Springer vol. 2454, 2025
• V. Restat, I. Diestelkämper, M. Klettke, U. Störl: FONDUE - Fine-tuned Optimization: Nurturing Data Usability & Efficiency, Journal of Big Data, 2025
• O. Azeroual, R. Nacheva, A. Nikiforova, U. Störl: A CRISP-DM and Predictive Analytics Framework for Enhanced Decision-Making in Research Information Management Systems, Informatica, 49(18): 67–86, 2025
• O. Azeroual, K. Neumeyer, N. Teusch, K. Wang, J. Zähler: Intelligente Abfallwirtschaft: KI-gestützte Lösungen für automatisierte Mülltrennung und -entsorgung, Forschungsergebnisse zur Informatik, Band 75, 2025
• O. Azeroual: Empowering IT-Supported Research Management: Leveraging Data Science Methods for Informed Decisions, in Tallón-Ballesteros, A.J. (Hrsg.), Digitalization and Management Innovation III, 2025
• V. Restat, U. Störl: ALPINE: Abstract Language for Pipeline Integration and Execution, DE4DS@BTW 2025
• O. Azeroual, U. Störl, L. Rothfritz, J. Schöpfel, U. Herb, and G. Borges. "Datenmanagement 4.0: Künstliche Intelligenz als Treiber für innovative Forschungsinformationssysteme" Information – Wissenschaft & Praxis, vol. 76. 2025
• S. Diemt: Designing a FAIR Research Data Management System - Insights from a User Needs Study, BTW 2025
• I. Diestelkämper, R. Diestelkämper, and V. Restat: CheDDaR: Checking Data – Data Quality Report, BTW 2025

2024

• R. Nacheva, O. Azeroual: Security of AI-Powered Systems: Threat Intelligence on the Edge, 2024 8th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT), 2024
• O. Azeroual: Can generative AI transform data quality? a critical discussion of ChatGPT’s capabilities, in Academia Engineering Volume 1; Issue 4, 2024
• O. Azeroual: Smart Data Stewardship: Innovating Governance and Quality with AI, in Proceedings of the 16th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2024
• R. Fabre, O. Azeroual: Knowledge Graphs – The Future of Integration in CRIS Systems for Uses of Assistance to Scientific Reasoning, in Procedia Computer Science 2024
• O. Azeroual, J. Schöpfel, U. Störl, A. Marušić: Ethical aspects using AI in CRIS, in Procedia Computer Science, 2024
• V. Restat, N. Rodenhausen , C. Antonin, U. Störl: Data Cleaning of Data Streams, in Springer Handbook of Data Engineering, 2024
• M. Zajac, V. Restat, U. Störl: Quantum versus Classical Computation: Automatic Decision-Making Approaches , GI Quantum Computing Workshop, 2024
• M. Mozaffari, A. Dignös, J. Gamper, U. Störl: Self-tuning Database Systems: A Systematic Literature Review of Automatic Database Schema Design and Tuning, ACM Computing Surveys, 2024
• M. Zajac, U. Störl: A Microservice Data Management Architecture for Quantum Computing, SummerSoC 2024
• V. Restat, M. Klettke, U. Störl: Towards an End-to-End Data Quality Optimizer, DataPlat@ICDE 2024

2023

• O. Azeroual, R. Nacheva: Data Mesh for Managing Complex Big Data Landscapes and Enhancing Decision Making in Organizations. KMIS 2023, SciTePress
• M. Zajac, U. Störl: Hybrid Data Management Architecture for Present Quantum Computing, Services and Quantum Software (SQS) @ ICSOC 2023
• A. Conrad, U. Störl: Impact of Read and Write Operations on NoSQL Schema Design: First Insights, ER-Forum 2023
• D. Hausler, M. Klettke, U. Störl: A Language for Graph Database Evolution and its Implementation in Neo4j, ER-Forum 2023
• O. Azeroual, J. Schöpfel, J. Pölönen, A. Nikiforova: FAIRification of CRIS: A Review, IC3K 2022: Knowledge Discovery, Knowledge Engineering and Knowledge Management
• O. Azeroual, R. Nacheva, A. Nikiforova, U. Störl, A. Fraisse: Predictive Analytics intelligent decision-making framework and testing it through sentiment analysis on Twitter data in CompSysTech 2023
• O. Azeroual, A. Nikiforova, K. Sha: Overlooked Aspects of Data Governance: Workflow Framework For Enterprise Data Deduplication, 2023 ICCNS
• M. Zajac: Encoding and Provisioning Data in different Data Models for Quantum Computing, PhD Workshop@VLDB 2023
• O. Azeroual, R. Fabre, U. Störl, R. Qi: Elastic Stack and GRAPHYP Knowledge Graph of Web Usage: A Win–Win Workflow for Semantic Interoperability in Decision Making. Future Internet 2023
• K. Kramer: Towards Evolution Capabilities in Data Pipelines, GvDB 2023
• S. Klessinger, M. Fruth, V. Gittinger, M. Klettke, U. Störl, S. Scherzinger: Tagger: A Tool for the Discovery of Tagged Unions in JSON Schema Extraction, Demo@EDBT 2023
• A. Nikiforova, A. Daskevics, and O. Azeroual, (2023), NoSQL Security: Can My Data-driven Decision-making Be Influenced from Outside? Big Data and Decision-Making: Applications and Uses in the Public and Private Sector (Emerald Studies in Politics and Technology), 2023
• V. Restat, M. Klettke, U. Störl: "FAIR" is not enough – A Metrics Framework to ensure Data Quality through Data Preparation, DE4DS@BTW 2023
• S. Bruchhaus, T. Reis, M. X. Bornschlegl, U. Störl, M. Hemmje: Toward a User Empowering Architecture for Trustability Analytics, BigDS@BTW 2023
• F. Eppinger, U. Störl: Tuning Cassandra through Machine Learning, BTW 2023

2022

• O. Azeroual, J. Schöpfel, D. Ivanovic and A. Nikiforova: Combining Data Lake and Data Wrangling for Ensuring Data Quality in CRIS. CRIS2022
• O. Azeroual, J. Schöpfel, J. Pölönen and A. Nikiforova: Putting FAIR Principles in the Context of Research Information: FAIRness for CRIS and CRIS for FAIRness, KMIS/IC3K 2022, Best Paper Award
• A. Hillenbrand, U. Störl: Managing Schema Migration in NoSQL Databases: Advisor Heuristics vs. Self-Adaptive Schema Migration Strategies, Springer
• A. Conrad, P. Utzmann, M. Klettke, U. Störl: Metamodels to Support Database Migration between Heterogeneous Data Stores, Models and Evolution (ME)@MODELS 2022.
• S. Klessinger, M. Klettke, U. Störl, S. Scherzinger: Extracting JSON Schemas with Tagged Unions, DEco@VLDB 2022.
• M. Zajac, M. Dang, U. Störl: Implementation Aspects for Linking Data in Hybrid Quantum Applications, GI QSAP 2022.
• M. Zajac, U. Störl: Towards quantum-based Search for industrial Data-driven Services, IEEE QSW 2022.
• V. Restat: Towards "all-inclusive" Data Preparation to ensure Data Quality, GvDB 2022 (arXiv-Version).
• V. Restat, G. Boerner, A. Conrad, U. Störl: GouDa - Generation of universal Data Sets, DEEM@SIGMOD 2022.
• V. Restat, M. Klettke, U. Störl: Towards a Holistic Data Preparation Tool, DataPlat@EDBT 2022.
• U. Störl, M. Klettke: Darwin: A Data Platform for NoSQL Schema Evolution Management and Data Migration, DataPlat@EDBT 2022.
• A. Hillenbrand, U. Störl: Automated Curation of Variational Data in NoSQL Databases Through Metric-Driven Self-Adaptive Migration Strategies, MODELSWARD 2022.

2021

• M. Klettke, U. Störl: Four Generations in Data Engineering for Data Science - The Past, Presence and Future of a Field of Science, in Datenbank-Spektrum, 2021
• M. Klettke, A. Lutsch, U. Störl: Kurz erklärt: Measuring Data Changes in Data Engineering and their Impact on Explainability and Algorithm Fairness, in Datenbank-Spektrum, 2021.
• A. Conrad, S. Gärtner, U. Störl. Towards Automated Schema Optimization, in ER 2021.
• A. Hillenbrand, S. Scherzinger, U. Störl. Remaining in Control of the Impact of Schema Evolution in NoSQL Databases, in ER 2021.
• M. Klettke, U. Störl. Four Generations in Data Engineering for Data Science, talk@LWDA 2021
• A. Conrad, M. L. Möller, T. Kreiter, J.-Ch. Mair, M. Klettke, U. Störl. EvoBench: Benchmarking Schema Evolution in NoSQL, in TPCTC@VLDB 2021
• A. Hillenbrand, U. Störl, S. Nabiyev, S. Scherzinger. MigCast in Monte Carlo: The Impact of Data Model Evolution in NoSQL Databases. CoRR abs/2104.11787, 2021.
• A. Hillenbrand, U. Störl, S. Nabiyev, M. Klettke. Self-Adapting Data Migration in the Context of Schema Evolution in NoSQL Databases, in Distributed and Parallel Databases (DAPD), Special Issue on Self-Managing and Hardware-Optimized Database Systems, 2021.
• A. Hillenbrand: Towards a Theory of Models in Systems Development Modeling, MODELSWARD 2021.

2020

• M. L. Möller, M. Klettke and U. Störl: EvoBench - A Framework for Benchmarking Schema Evolution in NoSQL, in SCDM@BigData 2020.
• A. Stiemer, M. Vogt, H. Schuldt, U. Störl. PolyMigrate: Dynamic Schema Evolution and Data Migration in a Distributed Polystore, in Poly/DMHA@VLDB 2020
• M. L. Möller, S. Scherzinger, M. Klettke and U. Störl: Why it is Time for yet another Schema Evolution Benchmark ,in CAISE Forum 2020.
• A. Hillenbrand, U. Störl, M. Levchenko, S. Nabiyev, M. Klettke: Towards Self-Adapting Data Migration in the Context of Schema Evolution in NoSQL Databases, in SMDB@ICDE 2020.
• U. Störl, M. Klettke, S. Scherzinger: Tutorial: NoSQL Schema Evolution and Data Migration: State-of-the-Art and Opportunities, in EDBT 2020.
• T. Holstein und U. Störl: Insights into the Work of Editors of Digital Scholarly Editions for Correspondences, in 22nd International Conference on Human-Computer Interaction (HCII), Kopenhagen, Denmark Juli 2020 Juli 2020. (bibtex, fulltext)
• T. Holstein und U. Störl: Towards Supporting Tools for Editors of Digital Scholarly Editions for Correspondences (HCII) (Poster), in 22nd International Conference on Human-Computer Interaction, Copenhagen, Denmark, Juli 2020. (bibtex, fulltext)

2019

• M. L. Möller, M. Klettke, A. Hillenbrand, U. Störl: Query Rewriting for Continuously Evolving NoSQL Databases in ER 2019.
• M. L. Möller, M. Klettke, U. Störl: Keeping NoSQL Databases up to date – Semantics of Evolution Operations and their Impact on Data Quality, in LWDA 2019
• I. Holubova, M. Klettke, U. Störl: Evolution Management of Multi-Model Data, in Poly/DMHA@VLDB 2019
• A. Hillenbrand, M. Levchenko, U. Störl, S. Scherzinger, M. Klettke: MigCast: Putting a Price Tag on Data Model Evolution in NoSQL Data Stores, in Demo @ SIGMOD 2019.
• M. L. Möller, N. Berton, M. Klettke, S. Scherzinger, U. Störl: jHound: Large-Scale Profiling of Open JSON Data, in Demo@BTW 2019.

2018

• U. Störl, D. Müller, J. Stenzel, A. Tekleab, S. Tolale, M. Klettke, S. Scherzinger: Curating Variational Data in Application Development, in Demo@ICDE 2018.
• U. Störl, A. Tekleab, M. Klettke, S. Scherzinger: In for a Surprise when Migrating NoSQL Data, in Lightning Talk@ICDE 2018.

2017

• M. Klettke, H. Awolin, U. Störl, D. Müller, S. Scherzinger: Uncovering the Evolution History of Data Lakes, in SCDM@IEEE BigData 2017.
• U. Störl, D. Müller, M. Klettke, S. Scherzinger: Enabling Efficient Agile Software Development of NoSQL-backed Applications (PDF), in Demo@BTW 2017.
• U. Störl und A. Martin: Brieftextrevisionen in den Digital Humanities: Die Online-Volltextdatenbank für Briefe von und an Frank Wedekind, in: Textrevisionen, editio / Beihefte, Walter de Gruyter GmbH, S. 199-209, Januar 2017.

2016

• M. Klettke, U. Störl, M. Shenavai, S. Scherzinger: NoSQL Schema Evolution and Big Data Migration at Scale, in SCDM@IEEE Big Data 2016.
• M. Klettke, U. Störl, S. Scherzinger, S. Sombach, K. Wiech: Challenges with Continuous Deployment of NoSQL-backed Database Applications, in Presentation at „Herbsttreffen der Fachgruppe Datenbanken“@LWDA 2016.
• M. Klettke, U. Störl, S. Scherzinger: Herausforderungen bei der Anwendungsentwicklung mit schema-flexiblen NoSQL-Datenbanken, in HMD Praxis der Wirtschaftsinformatik, Volume 53, Issue 4, August 2016.
• S. Scherzinger, S. Sombach, K. Wiech, M. Klettke, U. Störl: Datalution: A Tool for Continuous Schema Evolution in NoSQL-backed Web Applications [preprint], in Demo@QUDOS@ISSTA 2016.
• U. Störl, M. Klettke, S. Scherzinger: Kurz erklärt: Objekt-NoSQL Mapping, in Datenbankspektrum, March 2016, Volume 16, Issue 1, pp 83-87.

2013 - 2015

• S. Scherzinger, U. Störl, M. Klettke: A Datalog-based Protocol for Lazy Data Migration in Agile NoSQL Application Development [errata version], in DBPL@SPLASH 2015.
• U. Störl, M. Klettke and S. Scherzinger: Kontrolliertes Schema-Evolutionsmanagement für NoSQL-Datenbanksysteme (PDF), in "Herbsttreffen der Fachgruppe Datenbanken"@LWA 2015.
• M. Klettke, U. Störl, S. Scherzinger: Schema Extraction and Structural Outlier Detection for NoSQL Data Stores, in BTW 2015.
• U. Störl, Th. Hauf, M. Klettke, S. Scherzinger: Schemaless NoSQL Data Stores – Object-NoSQL Mappers the Rescue?, in BTW 2015.
• S. Scherzinger, M. Klettke, U. Störl: Cleager: Eager Schema Evolution in NoSQL Document Stores, in Demo@BTW 2015.
• M. Klettke, S. Scherzinger, U. Störl: Datenbanken ohne Schema? Herausforderungen und Lösungs-Strategien in der agilen Anwendungsentwicklung mit schema-flexiblen NoSQL-Datenbanksystemen, in Datenbankspektrum Volume 14, 2, July 2014.
• S. Scherzinger, M. Klettke, U. Störl: Managing Schema Evolution in NoSQL Data Stores, in DBPL@VLDB 2013.