Logisch und Physikalisch Optimierte Semantic Web Datenbank-Engine (LUPOSDATE)

Funded by:

  • DFG

Runtime:

  • 2007 - 2011

Project Coordinator:

Research Associate:

 

Motivation

The vision of the Semantic Web compared to conventional database management systems and web applications is to incorporate the meaning of the symbol into the machine processing of symbols so that error rates from incorrectly mapped data and services can be reduced when data and services are automatically integrated . There are currently significant efforts in the World Wide Web Consortium (W3C), in industry and in research, to further develop the Semantic Web, both in terms of the specifications of essential formats and languages ​​as well as the underlying technologies and products.

Goals and Procedure

Semantic Web applications often still have major performance problems because logical and physical optimizations for Semantic Web data and queries have not yet been sufficiently researched and applied in productive systems. Furthermore, the concept of ontology in connection with database technologies has not yet been sufficiently researched.

Innovation and Prospects

The aim of this project is to research logical and physical optimizations for Semantic Web data and languages ​​with regard to the concrete specifics of Semantic Web data and languages, so that the performance of Semantic Web applications is improved. In particular, the concept of ontology and its implications for the optimized evaluation of Semantic Web queries will be examined in more detail.

Project Partners

  • Institute of Information Systems (IFIS), University of Lübeck

Link to Project Details

Publications

2025

Sarika Jain, Priyanka Sukul, Jinghua Groppe, Benjamin Warnke, Pooja Harde, Ritik Jangid, Waqas Rehan, Yuri Cotrado, Stefan Fischer, and Sven Groppe,
A scientometric analysis of reviews on the Internet of Things, The Journal of Supercomputing , vol. 81, no. 6, Apr. 2025. Springer Science and Business Media LLC.
Datei: s11227-025-07230-w
Akasha-Leonie Kessel, Soror Sahri, Sven Groppe, Jinghua Groppe, Hanieh Khorashadizadeh, Marc Pignal, Eva Perez Pimparé, and Régine Vignes-Lebbe,
Impact of Chatbots on User Experience and Data Quality on Citizen Science Platforms, Computers , vol. 14, no. 1, Jan. 2025.
Datei: computers14010021
Akasha-Leonie Kessel, Sven Groppe, Dominik Röpert, and Jinghua Groppe,
Ai-supported analysis and classification of digitized botanical collections, in 11th International Conference on Machine Learning, Optimization, and Data Science (LOD), Tuscany, Italy , 2025.
Jinghua Groppe, Andreas Marquet, Annabel Walz, and Sven Groppe,
Automated Archival Descriptions with Federated Intelligence of LLMs, in The 36th International Conference on Database and Expert Systems Applications (DEXA), Bangkok, Thailand , 2025.
Datei: 978-3-032-02049-9_4
Hanieh Khorashadizadeh, Sanju Tiwari, Farah Benamara, Nandana Mihindukulasooriya, Jinghua Groppe, Soror Sahri, Morteza Ezzabady, Frédéric Ieng, and Sven Groppe,
EcoRAG: A Multi-hop Economic QA Benchmark for Retrieval Augmented Generation Using Knowledge Graphs, in Natural Language Processing and Information Systems (NLDB), Kanazawa, Japan , 2025. pp. 163–173.
Datei: 978-3-031-97144-0_15
Anna Osipjan, Hanieh Khorashadizadeh, Akasha-Leonie Kessel, Sven Groppe, and Jinghua Groppe,
GraphTrace: A Modular Retrieval Framework Combining Knowledge Graphs and Large Language Models for Multi-Hop Question Answering, Computers , vol. 14, no. 9, 2025. MDPI AG.
Datei: computers14090382
Sven Groppe, Valter Uotila, and Jinghua Groppe,
Opportunities and Challenges for Data Quality in the Era of Quantum Computing, arXiv , vol. 2512.00870, 2025.
Datei: arxiv.2512.00870
Umut Çalıkyılmaz, Nitin Nayak, Jinghua Groppe, and Sven Groppe,
OptiMA: A Transaction-Based Framework with Throughput Optimization for Very Complex Multi-Agent Systems, arXiv , vol. 2511.03761, 2025.
Datei: arxiv.2511.03761
Sarika Jain, Bharat K. Bhargava, Deepshikha Kalra, and Sven Groppe,
Proceedings of the International Health Informatics Conference: IHIC 2023., .... Springer Nature Singapore, 2025.
DOI:10.1007/978-981-97-7190-5
ISBN:9789819771905
Datei: 978-981-97-7190-5
Jinghua Groppe, Nitin Nayak, Tobias Winker, Umut Çalıkyılmaz, and Sven Groppe,
"QC4DB: Beschleunigung von relationalen Datenbankmanagementsystemen durch Quantenrechner Teilvorhaben: Datenbank Optimierungen (DBOpt)" Hannover : Technische Informationsbibliothek, 2025.
Datei: 24530
Tobias Winker, Jinghua Groppe, and Sven Groppe,
QCardEst/QCardCorr: Quantum Cardinality Estimation and Correction, arXiv , vol. 2509.08817, 2025.
Datei: ARXIV.2509.08817
Nitin Nayak, Alexandru Prisacaru, Umut Çalıkyılmaz, Jinghua Groppe, and Sven Groppe,
Quantum-Enhanced Transaction Scheduling with Reduced Complexity via Solving QUBO Iteratively using a Locking Mechanism, in 2nd International Workshop on Quantum Computing and Quantum-Inspired Technology for Data-Intensive Systems and Applications (Q-Data), Berlin, Germany , 2025.
Datei: 3736393.3736701
Valter Uotila, Soror Sahri, and Sven Groppe,
Utilizing Quantum Computing to Improve the Quality of Data, in The 29th European Conference on Advances in Databases and Information Systems (ADBIS), Tampere, Finland , 2025.
Datei: 978-3-032-05281-0_19
Hasnain Sikora, Shridevi Krishnakumar, and Sven Groppe,
Weather forecasting using quantum-based LSTM: A comparative analysis, Results in Engineering , vol. 28, 2025. Elsevier BV.
Datei: j.rineng.2025.107995

2024

Simon Paasche, and Sven Groppe,
On the Potential of Sustainable Software Solutions in Smart Manufacturing Environments, in Semantic Intelligence , Springer Nature Singapore, Dez.2024, pp. 25–32.
DOI:10.1007/978-981-97-7356-5_3
Datei: 978-981-97-7356-5_3
M. A. Jabbar, Sanju Tiwari, Fernando Ortiz-Rodríguez, Sven Groppe, and Tasneem Bano Rehman,
Applied Machine Learning and Data Analytics: 6th International Conference, AMLDA 2023, Lübeck, Germany, November 9–10, 2023, Revised Selected Papers., .... Springer Nature Switzerland, 2024.
ISBN:9783031554865
Datei: 978-3-031-55486-5
Sylvio Barbon Junior, Paolo Ceravolo, Sven Groppe, Mustafa Jarrar, Samira Maghool, Florence Sèdes, Soror Sahri, and Maurice Van Keulen,
Are Large Language Models the New Interface for Data Pipelines?, in Proceedings of the International Workshop on Big Data in Emergent Distributed Environments, Santiago, Chile , Association for Computing Machinery, 2024.
Datei: 3663741.3664785
Hanieh Khorashadizadeh, Jinghua Groppe, Jessica Lückert, Sanju Tiwari, and Sven Groppe,
Assessing the Impact of Government Policies on Covid-19 Spread: A Machine Learning Approach, in 10th International Conference on Machine Learning, Optimization, and Data Science (LOD), Tuscany, Italy , 2024.
Hanieh Khorashadizadeh, Nandana Mihindukulasooriya, Nilufar Ranji, Morteza Ezzabady, Frédéric Ieng, Jinghua Groppe, Farah Benamara, and Sven Groppe,
Construction and Canonicalization of Economic Knowledge Graphs with LLMs, in International Knowledge Graph and Semantic Web Conference (KGSWC) , Springer Nature Switzerland, 2024. pp. 334–343.
ISBN:9783031812217
Datei: 978-3-031-81221-7_23
Zeinab Sadat Rabani, Hanieh Khorashadizadeh, Shirin Abdollahzade, Sven Groppe, and Javad Ghofrani,
Developers’ Perspective on Trustworthiness of Code Generated by ChatGPT: Insights from Interviews, in Applied Machine Learning and Data Analytics (AMLDA 2023), Lübeck, Germany , Springer Nature Switzerland, 2024. pp. 215–229.
Datei: 978-3-031-55486-5_16
Fatima Zahra Amara, Sven Groppe, Sanju Tiwari, Mounir Hemam, and Meriem Djezzar,
Exploring the Determinants of Semantic Internet of Things in Healthcare, in Roles and Challenges of Semantic Intelligence in Healthcare Cognitive Computing , IOS Press, 2024.
ISBN:9781643684611
Datei: SSW230026
Maja Franz, Tobias Winker, Sven Groppe, and Wolfgang Mauerer,
Hype or Heuristic? Quantum Reinforcement Learning for Join Order Optimisation, in 2024 IEEE International Conference on Quantum Computing and Engineering (QCE) , 2024. pp. 409-420.
Datei: QCE60285.2024.00055
Paolo Ceravolo, Tiziana Catarci, Marco Console, Philippe Cudré-Mauroux, Sven Groppe, Katja Hose, Jaroslav Pokorný, Oscar Romero, and Robert Wrembel,
moduli: A Disaggregated Data Management Architecture for Data-Intensive Workflows, SIGWEB Newsl. , vol. 2024, no. Winter, 2024. Association for Computing Machinery.
Datei: 3643603.3643607
Nitin Nayak, Manuel Schönberger, Valter Uotila, Zhengtong Yan, Sven Groppe, Jiaheng Lu, and Wolfgang Mauerer,
QCE'24 Tutorial: Quantum Annealing - Emerging Exploration for Database Optimization, arXiv , vol. arXiv:2411.04638, 2024.
Datei: 2411.04638
Nitin Nayak, Manuel Schönberger, Valter Uotila, Zhengtong Yan, Sven Groppe, Jiaheng Lu, and Wolfgang Mauerer,
Quantum Annealing: Emerging Exploration for Database Optimization, in IEEE International Conference on Quantum Computing and Engineering (QCE), Montréal, Québec, Canada , 2024.