BigSIoT: Big Data Management für das Semantic Internet of Things

Funded by:

  • DFG

Runtime:

2019 - 2023

Project Coordinator:

Research Associate:

  • Benjamin Warnke

Motivation

The Internet of Things (IoT) is expected to connect billions of embedded systems that will be equipped with both sensors to collect environmental data and actuators to change the state of the real world. On this basis, new applications such as smart cities, smart grids and smart healthcare will emerge.

Goals and Procedure

To make this vision and the promised applications a reality, a number of requirements still need to be met, including (a) the creation of infrastructures that enable the distribution, storage and retrieval of large amounts of data produced by the sensors, and (b) the semantic enrichment of this data as well as an open data format for its representation, which together then enable powerful machine processing and thus efficient implementation of the above applications. In the “BigSIoT” project we want to address these two issues.

Innovation and Prospects

First, we develop an infrastructure by organizing the existing processing and storage resources in the IoT infrastructure, but also IoT devices, into a P2P network. Based on this infrastructure, we will then explore the areas of large-scale distributed semantic data distribution as well as (one-time, trigger and continuous) query and inference processing to realize practical, large-scale IoT scenarios. Among other things, we will evaluate our approach in a large-scale smart city environment. 

Project Partners

  • Institute of Information Systems (IFIS), University of Lübeck
  • Institute of Telematics, University of Lübeck

Link to Project Details

Link to GEPRIS project page

Link to Open Source Implementation of LUPOSDATE3000 on GitHub

Activities

Dissertation

Benjamin Warnke:
Data Partitioning and Query Optimization in the Semantic Internet of Things
eingereicht Mai 2023, angenommen Juni 2023, mündl. Prüfung am 14.07.2023 (Doktorvater: Groppe), Thesis
Diese Dissertation ist von dem Vorsitzenden des Senatsausschusses MINT für den GI-Dissertationspreis nominiert worden.

 

Publications

2024

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

2023

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}
}
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.
Datei: 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}
}
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}
}

2022

Benjamin Warnke, Johann Mantler, Sven Groppe, Yuri Cotrado Sehgelmeble, and Stefan Fischer,
A SPARQL Benchmark for Distributed Databases in IoT Environments, in Big Data in Emergent Distributed Environments (BiDEDE'22), Philadelphia, PA, USA , 2022.
Datei: 3530050.3532929
Benjamin Warnke, Yuri Cotrado Sehgelmeble, Johann Mantler, Sven Groppe, and Stefan Fischer,
SIMORA: SIMulating Open Routing protocols for Application interoperability on edge devices, in 6th IEEE International Conference on Fog and Edge Computing (ICFEC22), Taormina (Messina), Italy , 2022.
Datei: ICFEC54809.2022.00013

2021

Benjamin Warnke, Muhammad Waqas Rehan, Stefan Fischer, and Sven Groppe,
Flexible data partitioning schemes for parallel merge joins in semantic web queries, in Datenbanksysteme für Business, Technologie und Web ({BTW}), 19. Fachtagung des GI-Fachbereichs "Datenbanken und Informationssysteme", Dresden, Germany , Gesellschaft für Informatik, Bonn, 2021. pp. 237--256.
DOI:10.18420/btw2021-12
Datei: btw2021-12
Bibtex: BibTeX
@inproceedings{Warnke21Flexible,
  author    = {Benjamin Warnke and Muhammad Waqas Rehan and Stefan Fischer and Sven Groppe},
  title     = {Flexible data partitioning schemes for parallel merge joins in semantic web queries},
  booktitle = {Datenbanksysteme für Business, Technologie und Web ({BTW}), 19. Fachtagung des GI-Fachbereichs "Datenbanken und Informationssysteme", Dresden, Germany},
  series    = {{LNI}},
  volume    = {{P-311}},
  pages     = {237--256},
  publisher = {Gesellschaft für Informatik, Bonn},
  year      = {2021},
  url       = {https://doi.org/10.18420/btw2021-12},
  note = {this publication received the label 'Results Reproduced'}
}
Sven Groppe, Rico Klinckenberg, and Benjamin Warnke,
Generating Sound from the Processing in Semantic Web Databases, Open Journal of Semantic Web (OJSW) , vol. 8, no. 1, pp. 1--27, 2021.
Datei: OJSW_2021v8i1n01_Groppe.html
Sven Groppe, Rico Klinckenberg, and Benjamin Warnke,
Sound of Databases: Sonification of a Semantic Web Database Engine, Proc. VLDB Endow. , vol. 14, no. 12, pp. 2695--2698, 2021.
Datei: 3476311.3476322