Professorship of Data Engineering
The research group of Data Engineering at TUM Campus Heilbronn devises novel techniques for managing decentralised data, information, and knowledge with a focus on query optimisation, federated query processing, and data quality.
As part of our research, we also study the application of Machine Learning approaches to solve diverse problems in Data and Knowledge Management. For example, we leverage latent features from sub-symbolic representations of knowledge to uncover hidden patterns that can be used to predict missing assertions or properties in knowledge bases.
News & Events
Doctoral Seminar 2024 - 30.09 - 01.10.2024
We were excited to host our very first doctoral seminar, held from September 30 to October 1, 2024, in Ellwangen, marking an important milestone for our group. The seminar focused on various aspects of code publishing, equipping our doctoral candidates with valuable skills in writing clean, efficient code that will enhance the quality of their research and foster collaboration within the academic and research communities.
Attended by: Maribel Acosta, Samuel García, Jin Ke, Johannes Mäkelburg, Zenon Zacouris
CONVIDE: Common Scientific Foundations - Modelling Languages and Techniques: 16 – 20.09.204
Our CONVIDE researcher, Zenon Zacouris, participated in a seminar on advanced model-driven development, focusing on principles, practices, and essential tools. Exploration included established modeling standard languages such as UML, ATL, and OCL, as well as cutting-edge technologies like multi-level and view-based modeling. This knowledge facilitates the creation of meta-models and model transformations, enabling effective extension of a V-SUM meta-model.
Attended by: Zenon Zacouris
TUM Graduate School Onboarding Seminar: 16 -18.09.2024
Two of our team members, Johannes Mäkelburg and Tim Schwabe, recently attended the TUM Graduate School Kick-Off Seminar, designed to prepare doctoral candidates for a successful academic career. Over three days, participants engaged with researchers from various disciplines and received essential information about doctoral research and Good Scientific Practice. Networking opportunities included a guided Walk & Talk and a custom-designed Escape Game. The seminar concluded with a two-day workshop about Presentation Rhetoric: Presenting with Confidence and Persuasiveness.
Attended by: Johannes Mäkelburg , Tim Schwabe
CONVIDE: Common Scientific Foundations - Product Development and Systems Engineering: 09 - 13.09.204
Our CONVIDE researchers, Johannes Mäkelburg and Zenon Zacouris, recently had the valuable opportunity to visit the Karlsruhe Institute of Technology (KIT) for an introduction to product development and systems engineering methods specifically tailored for Cyber-Physical Systems (CPS). This visit was centered on equipping our researchers with essential skills in developing and testing CPS.
Attended by: Johannes Mäkelburg Zenon Zacouris
Paper Presentation VLDB 2024: Efficient Validation of SHACL Shapes with Reasoning
Professor Maribel Acosta and researcher Jin Ke participated in the 50th VLDB conference held in Guangzhou, China, where Jin presented their work on Re-SHACL, an efficient approach for SHACL validation with reasoning. Traditional SHACL validation often overlooks implicit information, leading to inaccurate results. Their solution incorporates targeted reasoning and merging techniques, significantly improving validation accuracy while reducing computational overhead. On datasets such as DBpedia and Wikidata, Re-SHACL demonstrated faster validation times and more meaningful violation reports. This research opens new possibilities for scalable reasoning-based validation in large knowledge graphs.
Attended by: Maribel Acosta, Jin Ke