Dominique Hausler

I am currently working as a PhD student in the DFG Project GraFlex (and started in the DFG Project: NoSQL Schema Evolution and Big Data Migration at Scale II). My work contains the analysis of graph databases, in particular evolution in graph databases. To do so, I am analyzing the evolution capabilities of graph databases and plan to develop on top of Cypher an evolution language. The second topic focuses on inter-model linkage. The aim is to develop a system where different database stores with heterogeneous schemas can be accessed at once. To connect different data models, inclusion dependencies are used.

Dominique Hausler

Wissenschaftliche Mitarbeiterin

E-Mail Adresse: dominique.hausler(at)informatik.uni-regensburg.de (?ffnet Ihr E-Mail-Programm)
Tel: +49 941 943 68609 (startet einen Telefonanruf, wenn Ihr Ger?t dies zul?sst)
Standort: Bajuwarenstr. 4, BA 626
Wichtige Informationen: Sprechzeiten nach Vereinbarung per Email
Lehrstuhl für Data Engineering

Research Interests

Evolution in graph databases
Schema extraction
Inter-model linkage

Invited Talkes & Scientific Services

Panelist at the Early Carrer Worshop, BTW 2025, Bamberg
Session Chair at 36^th Workshop on Fundamentals of Databases, GvDB 2025, Regensburg

Publications

Hausler, Dominique, Conrad, André, Sperling, Mike, St?rl, Uta und Meike, Klettke (2025) Discovering Inclusion Dependencies in a Multi-Model Scenario.
Lecture Notes in Computer Science (LNCS): (13), S. 242-260. ISBN 978-3-032-08622-8.
https://dx.doi.org/https://doi.org/10.1007/978-3-032-08623-5_13
Hausler, Dominique, Eckwert, Torben, Klettke, Meike, Guckert, Michael und Taentzer, Gabriele (2025) Model-Driven Schema Transformation for Graph Databases.
Lecture Notes in Computer Science (LNCS): (17), S. 320-338. ISBN 978-3-032-08622-8.
https://dx.doi.org/https://doi.org/10.1007/978-3-032-08623-5_17
Waltersdorfer, Laura, Hausler, Dominique und Auge, Tanja (2025) Provenance Question-based AI Transparency and Accountable AI Governance.
The 39th Annual AAAI Conference on Artificial Intelligence - AAAI 2025 - W6: AI Governance: Alignment, Morality, and Law - The 2nd International Workshop on AI Governance (AIGOV), Philadelphia, Pennsylvania, USA, February 25 – March 4, 2025 , S. 94-94.
Klettke, Meike, Auge, Tanja, Hausler, Dominique, Landes, Jennifer, Melzer, Sylvia, M?ller, Mark Lukas und Plazotta, Maximilian (2025) Der Lehrstuhl Data Engineering an der Universit?t Regensburg.
Datenbank-Spektrum: 25 (1), S. 51-56.
Hausler, Dominique, Landes, Jennifer und Klettke, Meike (2025) SeeME: A General, Reusable Graph Schema for Data Preprocessing of Eye-Tracking Data.
Workshop Data Engineering for Data Science (DE4DS), Bamberg, 3.-7. M?rz 2025 , S. 219-233.
https://dx.doi.org/10.18420/BTW2025-126.
Hausler, Dominique und Klettke, Meike (2024) Nautilus: Implementation of an Evolution Approach for Graph Databases.
MODELS Companion '24: ACM/IEEE 27th International Conference on Model Driven Engineering Languages and Systems, Linz, Austria, September 22 - 27, 2024 , S. 11-15.
https://dx.doi.org/10.1145/3652620.3687781
Hausler, Dominique (2024) Estimation, Impact and Visualization of Schema Evolution in Graph Databases.
MODELS Companion '24: ACM/IEEE 27th International Conference on Model Driven Engineering Languages and Systems, Linz, Austria, September 22 - 27, 2024 , S. 123-129.
https://dx.doi.org/10.1145/3652620.3688196
Hausler, Dominique, Klettke, Meike und St?rl, Uta (2023) A language for graph database evolution and its implementation in Neo4j.
ER-Companion 2023, Lisbon, Portugal, November 06-09, 2023 : 3618
M?ller, Mark Lukas, Hausler, Dominique, Strasser, Sebastian, Auge, Tanja und Klettke, Meike (2023) Heterogeneity in NoSQL Databases - Challenges of Handling schema-less Data.
Lernen, Wissen, Daten, Analysen (LWDA), Marburg, Germany, October 9-11, 2023 : 3630, S. 134-145.

Download im BibTeX-Format

Addional Publications

Graph Database Evolution

Geo-X File: Conditional graph schema evolution language to handle heterogeneous data.
Graph Evolution Operation (GEO) File: Domain-unspecific description of evolution operations for graph databases in general.
Schema Modification Operation (SMO) File: An evolution language for the schema of graph databases to write schema modification operations. The language proclaimed here is domain-specific for the query language Cypher used in Neo4j.
Nautilus - Evolution Tool for Graph Databases : Code is available on GitHub under https://github.com/DominiqueHausler/Nautilus-Graph-Schema-Evolution

In-Database Data Preprocessing

In-Graph-Database Implementation of a General, Reusable Graph Schema and a Modular Data Preprocessing Pipeline For Eye-Tracking Data

Teaching

Lectures and Seminars:

ONGOING

Exercise: Databases 1 (SS 25)

PAST

Exercise: Programming 1 (WS 24/25)
Integrated course (lecture + seminar): Data Engineering (SS 23)

Theses:

PAST

Bachelor's thesis: Schema mapping from Neo4j to ProSA (i.e., from graph to relational data)
Master's thesis: Methods for discovering explicit and implicit references in relational and non-relational database systems

Curriculum Vitae

Scientific Carrer

Duration	Institution
since 04/2023	Research assistant in the DFG project: “GraFlex: Interactive Graph Database Evolution and Graph Data Transformation” (since 2025), in the DFG project: “No SQL Schema Evolution and Big Data Migraion at Scale II” (2023-2024), Faculty for Computer Science and Data Science, Data Engineering Group, University of Regensburg, Germany
2017-2021	Graduate student of Digital Humanities, University of Regensburg, Germany Master thesis: Empirical analysis of learning and teaching methods during the Corona Pandemic to develop orientation guidlines for students
2017-2021	Graduate student of Comparative East and Western European Studies, University of Regensburg, Germany Master thesis: Corpus-based analysis of learner texts by russian L1 speakers
2014-2018	Undergraduate student of General and Comparative Linguistics, Information Science and History, University of Regensburg, Germany Bachelor thesis: The expression of reflexive verbs: A empirical study among Ukrainians with German as a Second Language

Publikationen

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