Dominique Hausler

I am currently working 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.

Research Interests

• Evolution in graph databases
• Schema extraction
• Inter-model linkage

Publications

2024

• Dominique Hausler, Meike Klettke: Nautilus: Implementation of an Evolution Approach for Graph Databases. MoDELS (Companion) 2024
• Dominique Hausler: Estimation, Impact and Visualization of Schema Evolution in Graph Databases. MoDELS (Companion) 2024

2023

• Dominique Hausler, Meike Klettke, Uta Störl: A language for graph database evolution and its implementation in Neo4j. ER (Companion) 2023
• Mark Lukas Möller, Dominique Hausler, Sebastian Strasser, Tanja Auge, Meike Klettke: Heterogeneity in NoSQL Databases - Challenges of Handling schema-less Data. LWDA 2023

Graph Database Evolution

• 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

In-Graph-Database Data Preprocessing

• Dominique Hausler, Jennifer Landes: In-Graph-Database Implementation of a General, Reusable Graph Schema and a Modular Data Preprocessing Pipeline For Eye-Tracking Data (1.0). Zenodo 2024