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.
File: 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.
File: 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.
File: 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.
File: 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.
File: 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.
File: 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.
File: 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
File: 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.
File: 24530
Tobias Winker, Jinghua Groppe, and Sven Groppe,
QCardEst/QCardCorr: Quantum Cardinality Estimation and Correction, arXiv , vol. 2509.08817, 2025.
File: 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.
File: 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.
File: 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.
File: 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, Dec.2024, pp. 25–32.
DOI:10.1007/978-981-97-7356-5_3
File: 978-981-97-7356-5_3
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.
File: 3663741.3664785
Hanieh Khorashadizadeh, Fatima Zahra Amara, Morteza Ezzabady, Frédéric Ieng, Sanju Tiwari, Nandana Mihindukulasooriya, Jinghua Groppe, Soror Sahri, Farah Benamara, and Sven Groppe,
Research Trends for the Interplay between Large Language Models and Knowledge Graphs, in VLDB 2024 Workshop: The International Workshop on Data Management Opportunities in Unifying Large Language Models + Knowledge Graphs (LLM+KG), Guangzhou, China , 2024.
File: LLM+KG-9.pdf
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
File: 978-3-031-55486-5
Valter Uotila, Sven Groppe, Le Gruenwald, Jiaheng Lu, and Wolfgang Mauerer,
Workshop Summary of the Second International Workshop on Quantum Data Science and Management (QDSM), in VLDB 2024 Workshop: The Second International Workshop on Quantum Data Science and Management (QDSM’24) , 2024.
File: QDSM.1.pdf
T. Kar, P. Kanungo, Sachi Nandan Mohanty, Sven Groppe, and Jinghua Groppe,
Video Shot-boundary detection: Issues, challenges and solutions, Artificial Intelligence Review , vol. 57, no. 4, 2024.
File: s10462-024-10742-1
Morteza Ezzabady, Frédéric Ieng, Hanieh Khorashadizadeh, Farah Benamara, Sven Groppe, and Soror Sahri,
Towards Generating High-Quality Knowledge Graphs by Leveraging Large Language Models, in The 29th Annual International Conference on Natural Language \& Information Systems (NLDB 2024), Turin, Italy , 2024.
File: 978-3-031-70239-6_31
Jinghua Groppe, Sven Groppe, Daniel Senf, and Ralf Möller,
There Are Infinite Ways to Formulate Code: How to Mitigate the Resulting Problems for Better Software Vulnerability Detection, Information , vol. 15, no. 4, 2024.
File: info15040216
Sven Groppe, and Sarika Jain,
The Way Forward with AI-Complete Problems, New Generation Computing , 2024.
File: s00354-024-00251-8
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.
Sven Groppe, Sarika Jain, and Bharat K. Bhargava,
Semantic Intelligence, Sarika Jain and Sven Groppe and Bharat K. Bhargava, Eds. Springer Nature Singapore, 2024, pp. 25–32.
DOI:10.1007/978-981-97-7356-5_3
ISBN:9789819773565
File: 978-981-97-7356-5_3
Bibtex: BibTeX
@book{SemanticIntelligence2023,
 title = {Semantic Intelligence},
 editor = {Sarika Jain and Sven Groppe and Bharat K. Bhargava},
 year = {2023},
 publisher = {Springer Nature Singapore},
 url = {https://doi.org/10.1007/978-981-19-7126-6}
}