Seminar Organization
We will offer both seminars (Bachelor’s and Master’s) in Winter 2026/27, together with Prof. Deßloch’s group.
Find some general information below:
Registration
To attend this seminar, students need to register according to the registration procedure. As in previous semesters, the registration process will be managed in a centralized manner for all of the CS department’s seminars, via OLAT courses. The assignment will of course reflect your specialization, prerequisite lectures (see below), and seminar wishes. You can find the password for the OLAT courses in the email the department well send or sent to you.
Seminar Overview
Once you get selected for our seminar, you will be able to select a research paper from a list of papers we provide. Each student needs to present their paper in a talk at the end of the semester. Finally, also a short report about the presented paper needs to be submitted, the latest two weeks after the presentation. More information will be provided in the kickoff meeting.
Prerequisites
- Participants in the Bachelor Seminar should have successfully attended the core lecture Informationssysteme (information systems) or equivalent.
- Participants in the Master Seminar should have successfully attended the core lecture Datenbanksysteme (database systems) or equivalent. Having attended the beginner’s course Informationssysteme (information systems), or equivalent, is assumed anyway.
Timeline
Remember the following deadlines if you got a slot in the seminar:
- 23.10.26 14:00 Seminar Kickoff in 36-336 (slides)
- 25.10.26 Paper Selection Deadline
- 27.11.26 Summary & First Meeting Deadline (template)
- 10.01.26 No-Left-ToDo Slides Deadline
- TBD: Intro Talks (likely between 14.12.26 and 18.12.26)
- TBD: Camera Ready Slides Deadline (2 days before presentations)
- TBD: Final Presentations (likely between 08.02.27 and 12.02.27)
- 28.02.27: report deadline
Papers
Look further than only titel and abstract before deciding for a paper, since some papers might demand math or deeper ML skills you might find difficult. You have to be in the University’s VPN (full tunnel) for accessing some of the papers.
Bachelor
| # | Paper Title | Weblink |
|---|---|---|
| 1 | Nested Parquet Is Flat, Why Not Use It? How To Scan Nested Data With On-the-Fly Key Generation and Joins | https://doi.org/10.1145/3725329 |
| 2 | Towards Principled, Practical Document Database Design | https://doi.org/10.14778/3750601.3750606 |
| 3 | SQLStorm: Taking Database Benchmarking into the LLM Era | https://www.vldb.org/pvldb/vol18/p4144-schmidt.pdf |
| 4 | Comparison and Analysis of Value Linking in Text-to-SQL Systems | https://dl.acm.org/doi/abs/10.1145/3802029 |
| 5 | Dataset Discovery in Data Lakes | https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9101607 |
| 6 | SANTOS: Relationship-based Semantic Table Union Search | https://dl.acm.org/doi/pdf/10.1145/3588689 |
| 7 | Building Stateless Serverless Vector DBs via Block-based Data Partitioning | https://dl.acm.org/doi/10.1145/3769769 |
Master
| # | Paper Title | Weblink |
|---|---|---|
| 1 | Adaptive and Efficient Log Parsing as a Cloud Service | https://doi.org/10.1145/3722212.3724427 |
| 2 | Local-to-Cloud Database Synchronization via Fine-Grained Hybrid Compression | https://doi.org/10.1109/icde65448.2025.00223 |
| 3 | DIVER: A Robust Text-to-SQL System with Dynamic Interactive Value Linking and Evidence Reasoning | https://dl.acm.org/doi/10.1145/3786640 |
| 4 | DBCopilot: Natural Language Querying over Massive Databases via Schema Routing | https://openproceedings.org/2025/conf/edbt/paper-209.pdf |
| 5 | Qualitative Join Discovery in Data Lakes using Examples | https://dl.acm.org/doi/pdf/10.1145/3786682 |
| 6 | MosaicJoin: Compact Semantic Sketches for Value-Level Join Discovery | https://www.vldb.org/pvldb/vol19/p3745-fan.pdf |
| 7 | Extending SQL to Return a Subdatabase | https://dl.acm.org/doi/10.1145/3725291 |
| 8 | Sample-based Distinct Cardinality Estimation for Multiple Attributes in Multi-Dataset Queries | https://www.vldb.org/pvldb/vol19/p1115-mahin.pdf |
| 9 | How to Optimize SQL Queries? A Comparison Between Split, Holistic, and Hybrid Approaches | https://www.vldb.org/pvldb/vol18/p3910-gretscher.pdf |
| 10 | Hadoop GIS: A High Performance Spatial Data Warehousing System over MapReduce | https://www.vldb.org/pvldb/vol6/p1009-aji.pdf |
| 11 | QuIT Your B+-Tree for the Quick Insertion Tree | https://openproceedings.org/2025/conf/edbt/paper-118.pdf |
| 12 | Cleaning Time Series under Seasonal and Trend Constraints | https://dl.acm.org/doi/10.1145/3769773 |
