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

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.
Datei: QDSM.5.pdf
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.
Datei: bdcc8070071
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
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.
Datei: s13222-024-00468-3
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
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
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.

2023

Simon Paasche, and Sven Groppe,
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
Datei: 3583678.3603281
Bibtex: 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}
}
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.
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.
Datei: computers12100210
Bibtex: 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.
Datei: 3555041.3590821
Tobias Winker, Sven Groppe, Valter Uotila, Zhengtong Yan, Jiaheng Lu, Maja Franz, and Wolfgang Mauerer,
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.
Datei: 3555041.3589404
Bibtex: 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}
}
Tobias Winker, Umut Çalıkyılmaz, Le Gruenwald, and Sven Groppe,
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.
Datei: 3579142.3594299
Bibtex: 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}
}
Sven Groppe, Le Gruenwald, and Ching{-}Hsien Hsu,
Proceedings of the International Workshop on Big Data in Emergent Distributed Environments, BiDEDE 2023, Seattle, WA, USA., .... ACM, 2023.
Datei: 3579142
Sarika Jain, Sven Groppe, and Nandana Mihindukulasooriya,
Proceedings of the International Health Informatics Conference (IHIC) 2022., .... Springer Nature Singapore, 2023.
Datei: 978-981-19-9090-8
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.
Datei: QDSM1.pdf
Bibtex: 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}
}
Sven Groppe,
Renewal of the Major Fields of New-Generation Computing, New Gener. Comput. , pp. 1 - 2, 2023.
Datei: s00354-023-00206-5
Hanieh Khorashadizadeh, Frédéric Ieng, Morteza Ezzabady, Soror Sahri, Sven Groppe, and Farah Benamara,
Personal Knowledge Graphs (PKGs): Methodology, tools and applications, Institution of Engineering and Technology, 2023, pp. 277--293.
Datei: pbpc063e_ch12
Simon Paasche, and Sven Groppe,
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.
Datei: fi15110349
Bibtex: 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}
}
Umut Çalıkyılmaz, Sven Groppe, Jinghua Groppe, Tobias Winker, Stefan Prestel, Farida Shagieva, Daanish Arya, Florian Preis, and Le Gruenwald,
Opportunities for Quantum Acceleration of Databases: Optimization of Queries and Transaction Schedules, Proc. VLDB Endow. , vol. 16, no. 9, pp. 2344--2353, 2023.
Datei: 3598581.3598603
Bibtex: 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}
}
Nitin Nayak, Jan Rehfeld, Tobias Winker, Benjamin Warnke, Umut Çalıkyılmaz, and Sven Groppe,
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.
Datei: 3579142.3594298
Bibtex: 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}
}
Hanieh Khorashadizadeh, Nandana Mihindukulasooriya, Sanju Tiwari, Jinghua Groppe, and Sven Groppe,
Exploring In-Context Learning Capabilities of Foundation Models for Generating Knowledge Graphs from Text, CoRR , vol. abs/2305.08804, 2023.
Datei: arXiv.2305.08804
Bibtex: 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}
}