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
Quantum Join Ordering by Splitting the Search Space of QUBO Problems, Datenbank-Spektrum , vol. 24, no. 1, pp. 21-32, 2024.
| File: | s13222-024-00468-3 |
ReJOOSp: Reinforcement Learning for Join Order Optimization in SPARQL, Big Data and Cognitive Computing (BDCC) , vol. 8, no. 7, 2024.
| File: | bdcc8070071 |
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: |
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: | @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}
} |
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.
| File: |
The Way Forward with AI-Complete Problems, New Generation Computing , 2024.
| File: | s00354-024-00251-8 |
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 |
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 |
Video Shot-boundary detection: Issues, challenges and solutions, Artificial Intelligence Review , vol. 57, no. 4, 2024.
| File: | s10462-024-10742-1 |
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: |
2023
A Finite State Automaton for Green Data Validation in a Real-World Smart Manufacturing Environment with Special Regard to Time-Outs and Overtaking, Future Internet , vol. 15, no. 11, 2023.
| File: | fi15110349 |
| Bibtex: | @article{Paasche2023StateAutomaton,
author = {Simon Paasche and Sven Groppe},
title = {A Finite State Automaton for Green Data Validation in a Real-World Smart Manufacturing Environment with Special Regard to Time-Outs and Overtaking},
journal = {Future Internet},
volume = {15},
year = {2023},
number = {11},
url = {https://doi.org/10.3390/fi15110349}
} |
Constructing Optimal Bushy Join Trees by Solving QUBO Problems on Quantum Hardware and Simulators, in Proceedings of the International Workshop on Big Data in Emergent Distributed Environments (BiDEDE), Seattle, WA, USA , 2023.
| File: | 3579142.3594298 |
| Bibtex: | @inproceedings{Nayak2023QUBO_JOO,
title = {Constructing Optimal Bushy Join Trees by Solving QUBO Problems on Quantum Hardware and Simulators},
author = {Nitin Nayak and Jan Rehfeld and Tobias Winker and Benjamin Warnke and Umut Çalıkyılmaz and Sven Groppe},
booktitle = {Proceedings of the International Workshop on Big Data in Emergent Distributed Environments (BiDEDE), Seattle, WA, USA},
year = {2023},
url = {https://doi.org/10.1145/3579142.3594298}
} |
Distributed SPARQL Queries in Collaboration with the Routing Protocol, in Proceedings of the 27th International Database Engineered Applications Symposium (IDEAS), Heraklion, Crete, Greece , 2023.
| File: | 3589462.3589497 |
| Bibtex: | @inproceedings{Warnke2023_1,
title = {Distributed SPARQL Queries in Collaboration with the Routing Protocol},
author = {Benjamin Warnke and Stefan Fischer and Sven Groppe},
booktitle = {Proceedings of the 27th International Database Engineered Applications Symposium (IDEAS), Heraklion, Crete, Greece},
year = {2023},
url = {https://doi.org/10.1145/3589462.3589497}
} |
Exploring In-Context Learning Capabilities of Foundation Models for Generating Knowledge Graphs from Text, CoRR , vol. abs/2305.08804, 2023.
| File: | arXiv.2305.08804 |
| Bibtex: | @inproceedings{Khorashadizadeh2023Text2KGInContextLearning,
title = {Exploring In-Context Learning Capabilities of Foundation Models for Generating Knowledge Graphs from Text},
author = {Hanieh Khorashadizadeh and Nandana Mihindukulasooriya and Sanju Tiwari and Jinghua Groppe and Sven Groppe},
booktitle = {Proceedings of the 2nd International Workshop on Knowledge Graph Generation From Text (Text2KG) in conjunction with the Extended Semantic Web Conference (ESWC 2023), Hersonissos, Greece},
year = {2023},
url = {https://ceur-ws.org/Vol-3447/Text2KG_Paper_9.pdf}
} |
GreenCC: A Hybrid Approach to Sustainably Validate Manufacturing Data in Industry 4.0 Environments, in Proceedings of the 12th International Conference on Data Science, Technology and Applications (DATA), Rome, Italy , 2023.
| File: | 0012147900003541 |
| Bibtex: | @inproceedings{Paasche2023GreenCC,
title = {GreenCC: A Hybrid Approach to Sustainably Validate Manufacturing Data in Industry 4.0 Environments},
author = {Simon Paasche and Sven Groppe},
booktitle = {Proceedings of the 12th International Conference on Data Science, Technology and Applications ({DATA}), Rome, Italy},
year = {2023},
url = {https://doi.org/10.5220/0012147900003541}
} |
Hybrid CPU/GPU/APU accelerated query, insert, update and erase operations in hash tables with string keys, Knowledge and Information Systems , vol. 65, no. 10, pp. 4359--4377, 2023. Springer Science and Business Media {LLC}.
| File: | s10115-023-01891-w |
| Bibtex: | @article{groth2023hybrid,
title={Hybrid CPU/GPU/APU accelerated query, insert, update and erase operations in hash tables with string keys},
author={Groth, Tobias and Groppe, Sven and Pionteck, Thilo and Valdiek, Franz and Koppehel, Martin},
journal={Knowledge and Information Systems},
pages={4359--4377},
year={2023},
publisher={Springer}
}
|
Index Tuning with Machine Learning on Quantum Computers for Large-Scale Database Applications, 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.
| File: | |
| Bibtex: | @inproceedings{Gruenwald2023IndexTuning,
title = {Index Tuning with Machine Learning on Quantum Computers for Large-Scale Database Applications},
author = {Le Gruenwald and Tobias Winker and Umut Çalıkyılmaz and Jinghua Groppe and Sven Groppe},
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/QDSM5.pdf}
} |
Joint Proceedings of Workshops at the 49th International Conference on Very Large Data Bases {(VLDB} 2023), Vancouver, Canada., .... CEUR-WS.org, 2023.
| File: | Vol-3462 |
| Bibtex: | @proceedings{Bordawekar2023WorkshopsVLDB,
author = {Rajesh Bordawekar and Cinzia Cappiello and Vasilis Efthymiou and Lisa Ehrlinger and Vijay Gadepally and Sainyam Galhotra and Sandra Geisler and Sven Groppe and Le Gruenwald and Alon Y. Halevy and Hazar Harmouch and Oktie Hassanzadeh and Ihab F. Ilyas and Ernesto Jimenez-Ruiz and Sanjay Krishnan and Tirthankar Lahiri and Guoliang Li and Jiaheng Lu and Wolfgang Mauerer and Umar Farooq Minhas and Felix Naumann and M. Tamer Özsu and El Kindi Rezig and Kavitha Srinivas and Michael Stonebraker and Satyanarayana R. Valluri and Maria-Esther Vidal and Haixun Wang and Jiannan Wang and Yingjun Wu and Xun Xue and Mohamed Zait and Kai Zeng},
title = {Joint Proceedings of Workshops at the 49th International Conference on Very Large Data Bases {(VLDB} 2023), Vancouver, Canada},
publisher = {CEUR-WS.org},
year = {2023},
url = {https://ceur-ws.org/Vol-3462}
} |
Opportunities for Quantum Acceleration of Databases: Optimization of Queries and Transaction Schedules, Proc. VLDB Endow. , vol. 16, no. 9, pp. 2344--2353, 2023.
| File: | 3598581.3598603 |
| Bibtex: | @article{Calıkyilmaz2023QC_QO_TSO,
title = {Opportunities for Quantum Acceleration of Databases: Optimization of Queries and Transaction Schedules},
author = {Umut Çalıkyılmaz and Sven Groppe and Jinghua Groppe and Tobias Winker and Stefan Prestel and Farida Shagieva and Daanish Arya and Florian Preis and Le Gruenwald},
journal = {Proc. {VLDB} Endow.},
volume = {16},
number = {9},
pages = {2344--2353},
year = {2023},
url = {https://doi.org/10.14778/3598581.3598603}
} |
Personal Knowledge Graphs (PKGs): Methodology, tools and applications, Institution of Engineering and Technology, 2023, pp. 277--293.
| File: | pbpc063e_ch12 |
Poster: Handling Inconsistent Data in Industry 4.0, in Proceedings of the 17th ACM International Conference on Distributed and Event-Based Systems (DEBS'23), Neuchatel, Switzerland , New York, NY, USA: Association for Computing Machinery, 2023. pp. 180–181.
| ISBN: | 9798400701221 |
| File: | 3583678.3603281 |
| Bibtex: | @inproceedings{Paasche2023InconsistentData,
author = {Simon Paasche and Sven Groppe},
title = {Poster: Handling Inconsistent Data in Industry 4.0},
booktitle = {Proceedings of the 17th ACM International Conference on Distributed and Event-Based Systems (DEBS '23)},
year = {2023},
isbn = {9798400701221},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3583678.3603281},
pages = {180–181},
location = {Neuchatel, Switzerland}
} |
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.
| File: | |
| 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}
} |
Proceedings of the International Health Informatics Conference (IHIC) 2022., .... Springer Nature Singapore, 2023.
| File: | 978-981-19-9090-8 |
Proceedings of the International Workshop on Big Data in Emergent Distributed Environments, BiDEDE 2023, Seattle, WA, USA., .... ACM, 2023.
| File: | 3579142 |
Quantum Machine Learning for Join Order Optimization using Variational Quantum Circuits, in Proceedings of the International Workshop on Big Data in Emergent Distributed Environments (BiDEDE), Seattle, WA, USA , 2023.
| File: | 3579142.3594299 |
| Bibtex: | @inproceedings{Winker2023QML_JOO,
title = {Quantum Machine Learning for Join Order Optimization using Variational Quantum Circuits},
author = {Tobias Winker and Umut Çalıkyılmaz and Le Gruenwald and Sven Groppe},
booktitle = {Proceedings of the International Workshop on Big Data in Emergent Distributed Environments (BiDEDE), Seattle, WA, USA},
year = {2023},
url = {https://doi.org/10.1145/3579142.3594299}
} |

