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

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
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
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.
File: QDSM.5.pdf
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.
File: 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.
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
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.
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
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}
}
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
File: 978-3-031-81221-7_23

2023

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.
File: pbpc063e_ch12
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.
File: 978-3-031-39847-6_41
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.
File: 3579142
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.
File: 3555041.3590821
Tobias Groth, Sven Groppe, Thilo Pionteck, Franz Valdiek, and Martin Koppehel,
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: 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}
}
Sarika Jain, Sven Groppe, and Nandana Mihindukulasooriya,
Proceedings of the International Health Informatics Conference (IHIC) 2022., .... Springer Nature Singapore, 2023.
File: 978-981-19-9090-8
Sven Groppe,
Renewal of the Major Fields of New-Generation Computing, New Gener. Comput. , pp. 1 - 2, 2023.
File: s00354-023-00206-5
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.
File: 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}
}
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.
File: 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}
}
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.
File: 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}
}
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.
File: 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.
File: 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}
}
Benjamin Warnke, Stefan Fischer, and Sven Groppe,
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: 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}
}
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
File: 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}
}
Simon Paasche, and Sven Groppe,
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: 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}
}