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
2024
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.
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 |
Benjamin
Warnke,
Kevin
Martens,
Tobias
Winker,
Sven
Groppe,
Jinghua
Groppe,
Prasad
Adhiyaman,
Sruthi
Srinivasan, and
Shridevi
Krishnakumar,
ReJOOSp: Reinforcement Learning for Join Order Optimization in SPARQL, Big Data and Cognitive Computing (BDCC) , vol. 8, no. 7, 2024.
ReJOOSp: Reinforcement Learning for Join Order Optimization in SPARQL, Big Data and Cognitive Computing (BDCC) , vol. 8, no. 7, 2024.
| Datei: | bdcc8070071 |
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.
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 |
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.
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.
| Datei: |  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.
Video Shot-boundary detection: Issues, challenges and solutions, Artificial Intelligence Review , vol. 57, no. 4, 2024.
| Datei: | 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.
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.
| Datei: | 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.
There Are Infinite Ways to Formulate Code: How to Mitigate the Resulting Problems for Better Software Vulnerability Detection, Information , vol. 15, no. 4, 2024.
| Datei: | info15040216 |
Martin
Vogrin,
Rok
Vogrin,
Sven
Groppe, and
Jinghua
Groppe,
Supervised Learning on Relational Databases with Quantum Graph Neural Networks, in VLDB 2024 Workshop: The Second International Workshop on Quantum Data Science and Management (QDSM’24), Guangzhou, China , 2024.
Supervised Learning on Relational Databases with Quantum Graph Neural Networks, in VLDB 2024 Workshop: The Second International Workshop on Quantum Data Science and Management (QDSM’24), Guangzhou, China , 2024.
| Datei: | QDSM.5.pdf
|
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.
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.
| Datei: | LLM+KG-9.pdf
|
Sven
Groppe, and
Sarika
Jain,
The Way Forward with AI-Complete Problems, New Generation Computing , 2024.
The Way Forward with AI-Complete Problems, New Generation Computing , 2024.
| Datei: | s00354-024-00251-8 |
Nitin
Nayak,
Tobias
Winker,
Umut
Çalıkyılmaz,
Sven
Groppe, and
Jinghua
Groppe,
Quantum Join Ordering by Splitting the Search Space of QUBO Problems, Datenbank-Spektrum , vol. 24, no. 1, pp. 21-32, 2024.
Quantum Join Ordering by Splitting the Search Space of QUBO Problems, Datenbank-Spektrum , vol. 24, no. 1, pp. 21-32, 2024.
| Datei: | s13222-024-00468-3 |
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.
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 |
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.
Quantum Annealing: Emerging Exploration for Database Optimization, in IEEE International Conference on Quantum Computing and Engineering (QCE), Montréal, Québec, Canada , 2024.
Sven Groppe,
das wetter ist schlecht, 2024.
das wetter ist schlecht, 2024.
| Bibtex: |  @inproceedings{LuBrMoGe24,
author = {Malte Luttermann and Tanya Braun and Ralf Möller and Marcel Gehrke},
title = {{Das Wetter ist schlecht.}},
booktitle = {Proceedings of the Sixteenth International Conference on Scalable Uncertainty Management (SUM-2024)},
year = {2024},
pages = {265--280},
publisher = {Springer},
}
|
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.
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 |
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.
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.
Maja
Franz,
Tobias
Winker,
Sven
Groppe, and
Wolfgang
Mauerer,
Hype or Heuristic? Quantum Reinforcement Learning for Join Order Optimisation, arXiv , vol. 2405.07770, 2024.
Hype or Heuristic? Quantum Reinforcement Learning for Join Order Optimisation, arXiv , vol. 2405.07770, 2024.
| Datei: | arXiv.2405.07770 |
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.
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.
QCE'24 Tutorial: Quantum Annealing - Emerging Exploration for Database Optimization, arXiv , vol. arXiv:2411.04638, 2024.
| Datei: | 2411.04638 |
2023
Valter
Uotila,
Sven
Groppe,
Le
Gruenwald,
Jiaheng
Lu, and
Wolfgang
Mauerer,
Preface {QDSM}, in Joint Proceedings of Workshops at the 49th International Conference on Very Large Data Bases (VLDB 2023) - International Workshop on Quantum Data Science and Management (QDSM'23), Vancouver, Canada , CEUR-WS.org, 2023.
Preface {QDSM}, in Joint Proceedings of Workshops at the 49th International Conference on Very Large Data Bases (VLDB 2023) - International Workshop on Quantum Data Science and Management (QDSM'23), Vancouver, Canada , CEUR-WS.org, 2023.
| Datei: | QDSM1.pdf
|
| Bibtex: | @inproceedings{Uotila2023QDSM,
title = {Preface {QDSM}},
author = {Valter Uotila and Sven Groppe and Le Gruenwald and Jiaheng Lu and Wolfgang Mauerer},
booktitle = {Joint Proceedings of Workshops at the 49th International Conference on Very Large Data Bases ({VLDB} 2023) - International Workshop on Quantum Data Science and Management (QDSM'23), Vancouver, Canada},
year = {2023},
url = {https://ceur-ws.org/Vol-3462/QDSM1.pdf}
} |
Jinghua
Groppe,
Sven
Groppe, and
Ralf
Möller,
Variables are a Curse in Software Vulnerability Prediction, in The 34th International Conference on Database and Expert Systems Applications (DEXA), Panang, Malaysia , 2023.
Variables are a Curse in Software Vulnerability Prediction, in The 34th International Conference on Database and Expert Systems Applications (DEXA), Panang, Malaysia , 2023.
| Datei: | 978-3-031-39847-6_41 |
Benjamin
Warnke,
Stefan
Fischer, and
Sven
Groppe,
Using Machine Learning and Routing Protocols for Optimizing Distributed SPARQL Queries in Collaboration, Computers , vol. 12, no. 10, 2023.
Using Machine Learning and Routing Protocols for Optimizing Distributed SPARQL Queries in Collaboration, Computers , vol. 12, no. 10, 2023.
| Datei: | computers12100210 |
| Bibtex: | @article{Warnke2023UsingMLDistributed,
author = {Benjamin Warnke and Stefan Fischer and Sven Groppe},
title = {Using Machine Learning and Routing Protocols for Optimizing Distributed SPARQL Queries in Collaboration},
journal = {Computers},
volume = {12},
year = {2023},
number = {10},
url = {https://doi.org/10.3390/computers12100210}
} |
Sven
Groppe,
Le
Gruenwald, and
Ching-Hsien
Hsu,
Third International Workshop on Big Data in Emergent Distributed Environments (BiDEDE), in Companion of the 2023 International Conference on Management of Data (SIGMOD), Seattle, WA, USA , 2023.
Third International Workshop on Big Data in Emergent Distributed Environments (BiDEDE), in Companion of the 2023 International Conference on Management of Data (SIGMOD), Seattle, WA, USA , 2023.
| Datei: | 3555041.3590821 |
Sarika
Jain,
Sven
Groppe, and
Bharat K.
Bhargava,
Semantic Intelligence., .... Springer Nature Singapore, 2023.
Semantic Intelligence., .... Springer Nature Singapore, 2023.
| Datei: | 978-981-19-7126-6 |
| 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}
} |
Sven Groppe,
Renewal of the Major Fields of New-Generation Computing, New Gener. Comput. , pp. 1 - 2, 2023.
Renewal of the Major Fields of New-Generation Computing, New Gener. Comput. , pp. 1 - 2, 2023.
| Datei: | s00354-023-00206-5 |
