data marketplaces

Data marketplaces – driving adoption of IoT

The fragmentation of the Internet of Things (IoT) – resulting in devices or things that cannot talk to each other – prevent the widespread adoption of IoT ecosystems. Our research on data marketplaces aims at bridging the interoperability gap of the IoT and providing a scalable platform for data providers and consumers to meet and establish data-centric IoT ecosystems.

Fostering data sharing in a connected world

The Internet of Things (IoT) is an increasing commercial reality, and connected Things are already largely outnumbering Web users. IoT applications play a role in a range of future technologies – everything from the smart home and autonomous driving to Industry 4.0. Likewise, the IoT plays a key role in the digital transformation efforts of small, medium and large companies.

100 billion

IoT devices by the year 2030

The IoT segment generates huge amounts of data, which can be used by AI algorithms and applications to transform everyday life for people and businesses. However, key factors stand in the way of a game-changing tipping point for this technology. Interoperability, which could be described as the ability of IoT devices to communicate with each other, is missing – especially when it comes to varying platforms.

Adding to that, data platforms that facilitate data sharing among a range of stakeholders simply aren’t available or mature enough. This fragmentation and the lack of cross-platform interoperability prevent the emergence of flourishing IoT ecosystems.

$3.6 trillion

Value of the IoT Data Marketplace by the year 2030

Building a better IoT ecosystem

In the context of the EU Horizon 2020 Project BIG IoT, we have developed a decentralized and open data marketplace platform that addresses the following challenges:

1) How can we enable semantic interoperability in open and rapidly growing IoT ecosystems?

2) How can we find, access and integrate data or information among various stakeholders in a scalable manner?

First, we enable interoperability through shared semantic data models used on the marketplace portal as well as the data exchange level (by a novel semantic API). Second, the marketplace portal allows data providers to annotate their data semantically when they offer their assets on the marketplace.

That makes it easier for data consumers and their IoT applications to discover the desired data assets through semantic search and facilitates the automatic integration of data into their applications.

Bosch data marketplace

At Bosch Research, we led the architecture work of the novel data marketplace platform and developed an innovative framework for data providers to extend semantic models on-demand (e.g. to accommodate new types of data).

In collaboration with Bosch Software Innovations, we have also developed ready-to-use Software Development Kits (SDK) that enable developers to seamlessly connect their applications to our marketplace and use the semantic API for accessing data in a uniform manner across heterogeneous sources.

The developed software is now available and maintained as part of the Eclipse open source software project: Bridge.IoT.

The video presents the vision and goals of the developed data marketplace platform.

Pilot Use Cases

We have successfully demonstrated our data marketplace in a number of smart city related pilot use cases, ranging from bike sharing to smart parking applications and environmentally friendly navigation applications. Heterogeneous data sources were shared and integrated via the marketplace by using the semantic models developed at Bosch.

Summary

Data marketplaces enable cross-platform, cross-domain and cross-standard use cases – they are the key to foster the sharing of data in our digital age. Providing meeting points for data providers and consumers, data marketplaces are key for any thriving data-sharing ecosystem and enablers for data-driven innovations.

Publications

  • Enabling IoT Ecosystems through Platform Interoperability

    A. Bröring et al. (2017)

    Enabling IoT Ecosystems through Platform Interoperability
    • Bröring, A., S. Schmid, C.-K.Schindhelm, A. Khelil, S. Kaebisch, D. Kramer, D. Le Phuoc, J. Mitic, D. Anicic, E. Teniente (2017)
    • IEEE Software 34(1), Seiten 54–61
  • An Architecture for Interoperable IoT Ecosystems

    S. Schmid et al. (2017)

    An Architecture for Interoperable IoT Ecosystems
    • Schmid, S., A. Bröring, D. Kramer, S. Kaebisch, A. Zappa, M. Lorenz, Y. Wang & L. Gioppo (2017)
    • International Conference on the Internet of Things (InterOSS Workshop) 2016: 39–55
  • New Facets of Semantic Interoperability: Adding JSON – JSON-LD Transformation Functionality to the BIG IoT API

    Y. Svetashova et al. (2017)

    New Facets of Semantic Interoperability: Adding JSON – JSON-LD Transformation Functionality to the BIG IoT API
    • Yulia Svetashova, Stefan Schmid, York Sure-Vetter (2017)
    • International Semantic Web Conference (Posters, Demos & Industry Tracks) 2017
  • The BIG IoT API – Semantically Enabling IoT Interoperability

    A. Bröring et al. (2018)

    The BIG IoT API – Semantically Enabling IoT Interoperability
    • Arne Bröring, Andreas Ziller, Victor Charpenay, Aparna Saisree Thuluva, Darko Anicic, Stefan Schmid, Achille Zappa, Mari Paz Linares, Lars M. Mikkelsen, Christian Seidel (2018)
    • IEEE Pervasive Computing 17(4): 41–51
  • Towards Semantic Model Extensibility in Interoperable IoT Data Exchange Platforms

    Y. Svetashova et al. (2018)

    Towards Semantic Model Extensibility in Interoperable IoT Data Exchange Platforms
    • Yulia Svetashova, Stefan Schmid, York Sure-Vetter (2018)
    • Globaler IoT-Gipfel 2018: 1–6
  • Semantic Model Extensibility in Interoperable IoT Data Marketplaces: Methods, Tools, Automation Aspects

    Y. Svetashova (2018)

    Semantic Model Extensibility in Interoperable IoT Data Marketplaces: Methods, Tools, Automation Aspects
    • International Semantic Web Conference (DC) 2018: 73–82.
Stefan Schmid

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