research-article

Towards a Decentralized Data Hub and Query System for Federated Dynamic Data Spaces

Authors:

Sonja Schimmler,

Manfred HauswirthAuthors Info & Claims

WWW '23 Companion: Companion Proceedings of the ACM Web Conference 2023

Pages 1452 - 1457

https://doi.org/10.1145/3543873.3587646

Published: 30 April 2023 Publication History

Abstract

This position paper proposes a hybrid architecture for secure and efficient data sharing and processing across dynamic data spaces. On the one hand, current centralized approaches are plagued by issues such as lack of privacy and control for users, high costs, and bad performance, making these approaches unsuitable for the decentralized data spaces prevalent in Europe and various industries (decentralized on the conceptual and physical levels while centralized in the underlying implementation). On the other hand, decentralized systems face challenges with limited knowledge of/control over the global system, fair resource utilization, and data provenance. Our proposed Semantic Data Ledger (SDL) approach combines the advantages of both architectures to overcome their limitations. SDL allows users to choose the best combination of centralized and decentralized features, providing a decentralized infrastructure for the publication of structured data with machine-readable semantics. It supports expressive structured queries, secure data sharing, and payment mechanisms based on an underlying autonomous ledger, enabling the implementation of economic models and fair-use strategies.

References

[1]

Daniel J. Abadi, Owen Arden, Faisal Nawab, and Moshe Shadmon. 2020. AnyLog: a Grand Unification of the Internet of Things. In CIDR 2020, 10th Conference on Innovative Data Systems Research, Amsterdam, The Netherlands, January 12-15, 2020, Online Proceedings. www.cidrdb.org. http://cidrdb.org/cidr2020/papers/p9-abadi-cidr20.pdf

[2]

Karl Aberer, Philippe Cudré-Mauroux, Anwitaman Datta, Zoran Despotovic, Manfred Hauswirth, Magdalena Punceva, and Roman Schmidt. 2003. P-Grid: a self-organizing structured P2P system. ACM SiGMOD Record 32, 3 (2003), 29–33.

Digital Library

[3]

Christian Aebeloe, Gabriela Montoya, and Katja Hose. 2021. ColChain: Collaborative Linked Data Networks. In WWW ’21: The Web Conference 2021, Virtual Event / Ljubljana, Slovenia, April 19-23, 2021, Jure Leskovec, Marko Grobelnik, Marc Najork, Jie Tang, and Leila Zia (Eds.). ACM / IW3C2, 1385–1396. https://doi.org/10.1145/3442381.3450037

Digital Library

[4]

Dirk Bergemann and Alessandro Bonatti. 2019. Markets for Information: An Introduction. Annual Review of Economics 11, 1 (2019), 85–107. https://doi.org/10.1146/annurev-economics-080315-015439 arXiv:https://doi.org/10.1146/annurev-economics-080315-015439

[5]

Christian Bizer, Tom Heath, and Tim Berners-Lee. 2011. Linked data: The story so far. In Semantic services, interoperability and web applications: emerging concepts. IGI global, 205–227.

[6]

Min Cai and Martin R. Frank. 2004. RDFPeers: a scalable distributed RDF repository based on a structured peer-to-peer network. In Proceedings of the 13th international conference on World Wide Web, WWW 2004, New York, NY, USA, May 17-20, 2004, Stuart I. Feldman, Mike Uretsky, Marc Najork, and Craig E. Wills (Eds.). ACM, 650–657. https://doi.org/10.1145/988672.988760

Digital Library

[7]

Martin Chorzempa, Paul Triolo, and Samm Sacks. 2018. China’s Social Credit System: A Mark of Progress or a Threat to Privacy?Policy Briefs PB18-14. Peterson Institute for International Economics. https://ideas.repec.org/p/iie/pbrief/pb18-14.html

[8]

Mickael Cormier, Aris Clepe, Andreas Specker, and Jürgen Beyerer. 2022. Where Are We With Human Pose Estimation in Real-World Surveillance?. In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Workshops. 591–601.

[9]

Rogier Creemers. 2018. China’s Social Credit System: An Evolving Practice of Control. Technical Report. https://ssrn.com/abstract=3175792 or http://dx.doi.org/10.2139/ssrn.3175792

[10]

Stefan Dziembowski, Lisa Eckey, Sebastian Faust, and Daniel Malinowski. 2019. Perun: Virtual Payment Hubs over Cryptocurrencies. In 2019 IEEE Symposium on Security and Privacy (SP). 106–123. https://doi.org/10.1109/SP.2019.00020

[11]

Stefan Dziembowski, Lisa Eckey, Sebastian Faust, and Daniel Malinowski. 2019. Perun: Virtual Payment Hubs over Cryptocurrencies. In 2019 IEEE Symposium on Security and Privacy (SP). 106–123. https://doi.org/10.1109/SP.2019.00020

[12]

Hisham S. Galal, Muhammad ElSheikh, and Amr M. Youssef. 2019. An Efficient Micropayment Channel on Ethereum. In Data Privacy Management, Cryptocurrencies and Blockchain Technology, Cristina Pérez-Solà, Guillermo Navarro-Arribas, Alex Biryukov, and Joaquin Garcia-Alfaro (Eds.). Springer International Publishing, Cham, 211–218.

[13]

Christoph Gröger. 2021. There is no AI without data. Commun. ACM 64, 11 (2021), 98–108. https://doi.org/10.1145/3448247

Digital Library

[14]

Tobias Grubenmann, Abraham Bernstein, Dmitry Moor, and Sven Seuken. 2018. Financing the Web of Data with Delayed-Answer Auctions. In WWW ’18.

[15]

Anh Le-Tuan, Conor Hayes, Manfred Hauswirth, and Danh Le-Phuoc. 2020. Pushing the scalability of rdf engines on IOT edge devices. Sensors 20, 10 (2020), 2788.

[16]

Anh Le-Tuan, Conor Hayes, Marcin Wylot, and Danh Le-Phuoc. 2018. DF4Led: An RDF engine for lightweight edge devices. In Proceedings of the 8th International Conference on the Internet of Things. 1–8.

Digital Library

[17]

Anh Le-Tuan, Darshan Hingu, Manfred Hauswirth, and Danh Le-Phuoc. 2019. Incorporating blockchain into RDF store at the lightweight edge devices. In International Conference on Semantic Systems. Springer, Cham, 369–375.

[18]

Joohyung Lee, DaeJin Kim, and Dusit Niyato. 2020. Market Analysis of Distributed Learning Resource Management for Internet of Things: A Game-Theoretic Approach. IEEE Internet Things J. 7, 9 (2020), 8430–8439. https://doi.org/10.1109/JIOT.2020.2991725

[19]

Manh Nguyen-Duc, Anh Le-Tuan, Manfred Hauswirth, and Danh Le-Phuoc. 2021. Towards autonomous semantic stream fusion for distributed video streams. In Proceedings of the 15th ACM International Conference on Distributed and Event-based Systems. 172–175.

Digital Library

[20]

European Parliament. 2016. Regulation (EU) 2016/679 of the European Parliament and of the Council of 27 April 2016. https://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:32016R0679. Accessed: 2022-04-01.

[21]

Simon Segars. 2017. Enabling mass IoT connectivity as ARM partners ship 100 billion chips. https://community.arm.com/arm-community-blogs/b/internet-of-things-blog/posts/enabling-mass-iot-connectivity-as-arm-partners-ship-100-billion-chips. Accessed: 2022-04-01.

[22]

Bela Shrimali and Hiren B. Patel. 2022. Blockchain state-of-the-art: architecture, use cases, consensus, challenges and opportunities. Journal of King Saud University - Computer and Information Sciences 34, 9 (2022), 6793–6807. https://doi.org/10.1016/j.jksuci.2021.08.005

Digital Library

[23]

Inc. Statista. 2022. Internet of Things (IoT) and non-IoT active device connections worldwide from 2010 to 2025. https://www.statista.com/statistics/1101442/iot-number-of-connected-devices-worldwide/. Accessed: 2022-04-01.

[24]

Zheng Tang, Milind Naphade, Ming-Yu Liu, Xiaodong Yang, Stan Birchfield, Shuo Wang, Ratnesh Kumar, David C. Anastasiu, and Jenq-Neng Hwang. 2019. CityFlow: A City-Scale Benchmark for Multi-Target Multi-Camera Vehicle Tracking and Re-Identification. In IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2019, Long Beach, CA, USA, June 16-20, 2019. Computer Vision Foundation / IEEE, 8797–8806. https://doi.org/10.1109/CVPR.2019.00900

Cited By

Rosa Cencic MDemer JHaberl SLe VLindow KMetzner CRösler ISchulze MTanrikulu CWieker HWinter C(2024)A Payment Architecture for Decentralized Data Spaces Based on Gaia-XDigital Economy. Emerging Technologies and Business Innovation10.1007/978-3-031-76368-7_9(119-131)Online publication date: 29-Nov-2024
https://doi.org/10.1007/978-3-031-76368-7_9

Index Terms

Towards a Decentralized Data Hub and Query System for Federated Dynamic Data Spaces
1. Information systems
  1. Data management systems
    1. Database management system engines
      1. Parallel and distributed DBMSs
    2. Middleware for databases
      1. Data federation tools
  2. World Wide Web
    1. Web data description languages
      1. Semantic web description languages
        Resource Description Framework (RDF)
2. Networks
  1. Network types
    1. Overlay and other logical network structures
      1. Peer-to-peer networks

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cover image ACM Conferences

WWW '23 Companion: Companion Proceedings of the ACM Web Conference 2023

April 2023

1567 pages

ISBN:9781450394192

DOI:10.1145/3543873

Copyright © 2023 ACM.

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SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web

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New York, NY, United States

Publication History

Published: 30 April 2023

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Research-article
Research
Refereed limited

Funding Sources

German Research Foundation (DFG)
German Research Foundation (DFG)
Federal Ministry for Education and Research
European Union?s Horizon RIA research and innovation programme
Federal Ministry for Education and Research

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WWW '23

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SIGWEB

WWW '23: The ACM Web Conference 2023

April 30 - May 4, 2023

TX, Austin, USA

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Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

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Cited By

Rosa Cencic MDemer JHaberl SLe VLindow KMetzner CRösler ISchulze MTanrikulu CWieker HWinter C(2024)A Payment Architecture for Decentralized Data Spaces Based on Gaia-XDigital Economy. Emerging Technologies and Business Innovation10.1007/978-3-031-76368-7_9(119-131)Online publication date: 29-Nov-2024
https://doi.org/10.1007/978-3-031-76368-7_9

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