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
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: |
ReJOOSp: Reinforcement Learning for Join Order Optimization in SPARQL, Big Data and Cognitive Computing (BDCC) , vol. 8, no. 7, 2024.
| File: | bdcc8070071 |
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.
| File: | QCE60285.2024.00055 |
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 |
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.
| File: | 978-3-031-55486-5_16 |
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 |
| File: | SSW230026 |
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 |
| File: | 978-3-031-81221-7_23 |
moduli: A Disaggregated Data Management Architecture for Data-Intensive Workflows, SIGWEB Newsl. , vol. 2024, no. Winter, 2024. Association for Computing Machinery.
| File: | 3643603.3643607 |
QCE'24 Tutorial: Quantum Annealing - Emerging Exploration for Database Optimization, arXiv , vol. arXiv:2411.04638, 2024.
| File: | 2411.04638 |
Quantum Annealing: Emerging Exploration for Database Optimization, in IEEE International Conference on Quantum Computing and Engineering (QCE), Montréal, Québec, Canada , 2024.
2023
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}
} |
Variables are a Curse in Software Vulnerability Prediction, in The 34th International Conference on Database and Expert Systems Applications (DEXA), Panang, Malaysia , 2023.
| File: | 978-3-031-39847-6_41 |
Using Machine Learning and Routing Protocols for Optimizing Distributed SPARQL Queries in Collaboration, Computers , vol. 12, no. 10, 2023.
| File: | 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}
} |
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.
| File: | 3555041.3590821 |
Quantum Machine Learning: Foundation, New Techniques, and Opportunities for Database Research, in Proceedings of ACM SIGMOD/PODS International Conference on Management of Data (SIGMOD) , 2023.
| File: | 3555041.3589404 |
| Bibtex: | @inproceedings{SIGMOD23Tutorial,
author = {Tobias Winker and Sven Groppe and Valter Uotila and Zhengtong Yan and Jiaheng Lu and Maja Franz and Wolfgang Mauerer},
title = {Quantum Machine Learning: Foundation, New Techniques, and Opportunities for Database Research},
booktitle = {Proceedings of ACM SIGMOD/PODS International Conference on Management of Data (SIGMOD)},
location = {Seattle metropolitan area, Washington, USA},
year = {2023},
pages = {},
url = {https://doi.org/10.1145/3555041.3589404}
} |
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}
} |
Proceedings of the International Workshop on Big Data in Emergent Distributed Environments, BiDEDE 2023, Seattle, WA, USA., .... ACM, 2023.
| File: | 3579142 |
Proceedings of the International Health Informatics Conference (IHIC) 2022., .... Springer Nature Singapore, 2023.
| File: | 978-981-19-9090-8 |
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}
} |
Renewal of the Major Fields of New-Generation Computing, New Gener. Comput. , pp. 1 - 2, 2023.
| File: | s00354-023-00206-5 |
Personal Knowledge Graphs (PKGs): Methodology, tools and applications, Institution of Engineering and Technology, 2023, pp. 277--293.
| File: | pbpc063e_ch12 |
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}
} |
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}
} |
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}
} |
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}
} |

