Publikationen

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)
• O. Azeroual: Can generative AI transform data quality? a critical discussion of ChatGPT’s capabilities, in Academia Engineering Volume 1; Issue 4
• 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), Emerald Publishing Limited, 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.