Heterogeneous Information Systems
Our group is dedicated to exploring and studying heterogeneous information systems. We investigate the complexities involved in integrating structured and unstructured data, relational and non-relational databases, centralized and distributed systems, and transactional systems.
By collaborating across different disciplines and using innovative methodologies, we aim to solve the challenges that arise in heterogeneous information environments. Our research focuses on advancing the understanding of data integration, interoperability, and emerging technologies in information systems, and developing solutions to address these issues.
Teaching
Summer Semester 2024
| Module HandBook Course ID | INF-21-46-K-7 |
| KIS Entry | Bachelor, Master |
| Level | Bachelor/Master |
| Language | English/German |
| Prerequisites | Datenbanksysteme (database systems) or equivalent, Informationssysteme (information systems), or equivalent |
| Details / Registration | Link |
| Contact | Tim Otto |
| Module HandBook Course ID | INF-22-71-K-7 |
| KIS Entry | Bachelor, Master |
| Level | Bachelor/Master |
| Language | English |
| Prerequisites | Datenbanksysteme (database systems) or equivalent, Informationssysteme (information systems), or equivalent |
| Details / Registration | Link |
| Contact | Gajendra Doniparthi |
| Module HandBook Course ID | INF-22-34-K-6 |
| KIS Entry | Link |
| OLAT-ID | 4508287556 |
| Language | English |
| Details / Registration | OLAT Course |
| Contact | Michael Hohenstein |
Note: This course is offered only during the summer semesters of even years (2024, 2026, and so on).
Winter Semester 2024/25
| Module HandBook Course ID | INF-22-02-K-6 |
| KIS Entry | <Link> |
| OLAT-ID | <Link> |
| Language | English |
| Details / Registration | <Link> |
| Contact | Tim Otto |
| Module HandBook Course ID | INF-22-71-K-7 |
| KIS Entry | <Link> |
| Level | Bachelor/Master |
| Language | English |
| Prerequisites | Datenbanksysteme (database systems) or equivalent, Informationssysteme (information systems), or equivalent |
| Details / Registration | <Link> |
| Contact | Tim Otto |
Thesis & Guided Research
We offer Bachelor's / Master's thesis and Guided Research topics in the following research areas. Contact our Research Staff for more details.
- Polystore Systems / Mediator-based Information Systems.
- Big Data Analytics in Distributed Information Systems setting.
- Datawarehouses / DataLakes / DataLakehouses.
- Progressive visual analytics / Approximate query processing.
Staff
Prof. Dr.-Ing Stefan Deßloch
Head of Research Group
Office: 36/329
Email: stefan.dessloch (at) cs.rptu.de
Phone: +49-631-205-3275
Heike Neu
Secretary
Office: 36/325
Email: heike.neu (at) cs.rptu.de
Phone: +49-631-205-2635
Fax: +49 631 205 3286
Steffen Reithermann
Technical Support
Office: 36/325
Email: steffen.reithermann (at) cs.rptu.de
Phone: +49-631-205-3296
Michael Hohenstein, M. Sc.
Doctoral Research Assistant
Office: 36/340
Email: hohenstein (at) cs.uni-kl.de
Phone: +49-631-205-3281
Gajendra Doniparthi, M. Sc.
Doctoral Research Assistant
Office: 36/332
Email: gajendra.doniparthi (at) cs.rptu.de
Location: qualified.reform.chairs
Tim Otto, M. Sc.
Doctoral Research Assistant
Office: 36/338
Email: tim.otto (at) cs.rptu.de
Phone: +49-631-205-2891
Bldg. 36, P.O.Box 3049, 67653 Kaiserslautern
Research
DataPLANT is a consortium of plant researchers that is part of the NFDI. Its main objective is to drive the democratization and digital transformation of research data in the field of basic plant research. The consortium's mission is to develop a Research Data Management (RDM) platform that can meet the community's requirements and allow for the processing and contextualization of research datasets in line with the FAIR principles (Findable, Accessible, Interoperable, Reusable).
We collaborate with our Computational Systems Biology Group here at RPTU to research and develop the RDM eco-system. Our focus is on large-scale plant science data modeling, data integration, research and development of software solutions for data indexing, search & findability to enable interdisciplinary data analysis. Specifically, we work on RDM ideas, Annotated Research Contexts as Fair Digital Objects, supporting tools, and solutions.
Recent Publications
- Beier S, Mühlhaus T, Pommier C, Owen S, Brilhaus D, Weil HL, Wetzels F, Chait G, Arend D, Feser M, Doniparthi G. BioHackEU23 report: Enabling continuous RDM using Annotated Research Contexts with RO-Crate profiles for ISA.
- Weil HL, Schneider K, Tschöpe M, Bauer J, Maus O, Frey K, Brilhaus D, Martins Rodrigues C, Doniparthi G, Wetzels F, Lukasczyk J. PLANTdataHUB: a collaborative platform for continuous FAIR data sharing in plant research. The Plant Journal. 2023 Nov;116(4):974-88.
- Doniparthi G. Using a Key-Value Index-Store for Cross-Model Join Queries over Heterogeneous Data Sources. In European Conference on Advances in Databases and Information Systems 2023 Aug 28 (pp. 45-58). Cham: Springer Nature Switzerland.
- Bauer J, Tschöpe M, Weidhase J, Mühlhaus T, Garth C, Doniparthi G, Gauza H, Perelo L, Rodrigues CM, von Suchodoletz D. „From DataPLANT’s DataHUB to DataPUB (lication)“. In International Workshop on Science Gateways 2023.