Enabling IoT Platform Interoperability Using a Systematic Development Approach by Example

Schneider, Michael; Hippchen, Benjamin; Abeck, Sebastian; Jacoby, Michael; Herzog, Reinhard

doi:10.1109/giots.2018.8534549

Cited by 17 publications

(13 citation statements)

References 5 publications

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“…To overcome the interoperability gaps at the data level, the parties need to share their ontologies. However, as noted by Schneider, et al in [18], very few IoT platforms provide formally defined ontologies and due to the lack of familiarity with the Semantic Web technologies, many of the IoT platform owners or providers seem to find it challenging to create such models for their platforms.…”

Section: Efpf Federated Interoperability Approachmentioning

confidence: 99%

“…The symbIoTe project [10,16] provides an interoperability framework to allow cooperation among IoT platforms to establish federations, aiming at the creation of innovative cross-domain applications. It offers mediation services and makes use of systematic development methodologies [18] to address the problem of interoperability across different IoT platforms. However, only the components enabling the registration and discovery of services are located in the cloud and each platform needs to deploy, configure and manage an adapter to connect to other platforms and perform data mapping and transformation.…”

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confidence: 99%

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Data Spine: A Federated Interoperability Enabler for Heterogeneous IoT Platform Ecosystems

Deshmukh

Jayakody²,

Schneider

et al. 2021

Sensors

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Today, the Internet of Things (IoT) is pervasive and characterized by the rapid growth of IoT platforms across different application domains, enabling a variety of business models and revenue streams. This opens new opportunities for companies to extend their collaborative networks and develop innovative cross-platform and cross-domain applications. However, the heterogeneity of today’s platforms is a major roadblock for mass creation of IoT platform ecosystems, pointing at the current absence of technology enablers for an easy and innovative composition of tools/services from the existing platforms. In this paper, we present the Data Spine, a federated platform enabler that bridges IoT interoperability gaps and enables the creation of an ecosystem of heterogeneous IoT platforms in the manufacturing domain. The Data Spine allows the ecosystem to be extensible to meet the need for incorporating new tools/services and platforms. We present a reference implementation of the Data Spine and a quantitative evaluation to demonstrate adequate performance of the system. The evaluation suggests that the Data Spine provides a multitude of advantages (single sign-on, provision of a low-code development environment to support interoperability and an easy and intuitive creation of cross-platform applications, etc.) over the traditional approach of users joining multiple platforms separately.

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Section: Efpf Federated Interoperability Approachmentioning

confidence: 99%

mentioning

confidence: 99%

Data Spine: A Federated Interoperability Enabler for Heterogeneous IoT Platform Ecosystems

Deshmukh

Jayakody²,

Schneider

et al. 2021

Sensors

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“…Further, AdaptAI provides a set of rules that considers several transformations for the collected knowledge from sensors. Another software development process is described in Reference 62based on behavior‐driven development and domain‐driven design using symbIoTe platform. Their approach provides semantic interoperability between two IoT platforms cope with BLE‐based indoor localization.…”

Section: Semantic Interoperability In Iot and Its Possible Research Imentioning

confidence: 99%

A comprehensive survey on semantic interoperability for Internet of Things: State‐of‐the‐art and research challenges

Rahman

Hussain

2020

Trans Emerging Tel Tech

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Internet of Things (IoT) is highly heterogeneous in terms of devices, communication technologies, protocols, data formats, and semantics. Data generated from various sources are represented using different semantics. It makes semantic interoperability as one of the significant issues in provisioning seamless communication and services over diverse IoT platforms. Semantic models help in exchanging semantically annotated information among such heterogeneous applications in a meaningful way. Seamless communication among different types of applications is commonly accomplished by using middleware, ontology, and semantic web technologies. In this paper, we present a comprehensive survey of different semantic interoperability solutions in the context of IoT. The pivotal semantic models available in the literature are compared with the help of a classification framework. This study identifies various open research issues and challenges for facilitating interoperable IoT communications. For the purpose of implementation and performance evaluation of various semantic models, we also suggest some important tools and frameworks. After pointing out different prospects and problems of the existing semantic interoperability schemes, the factors for improvement are identified indicating future research directions.

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“…(6) Specific City & Community capabilities, for specific verticals, e.g., mobility. (7) Focused on visualization of information for decision-making.…”

Section: European Innovation Program-smart Cities and Communitiesmentioning

confidence: 99%

“…The importance of the interoperability can be viewed from the current works that are focused on this topic. For instance, in [7], the connection of co-existing IoT platforms under multiple domains is rendered, trying to integrate them by using software, from a systematic perspective. In contrast, others, like [8], are fostering the IoT interoperability via new open frameworks applicable at large-scale.…”

mentioning

confidence: 99%

Interoperable Open Specifications Framework for the Implementation of Standardized Urban Platforms

Hernández¹,

García²,

Schonowski³

et al. 2020

Sensors

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The current cities' urban challenges go through digitalization and integration of new technologies under the perspective of actual and future ecological, as well as socio-economic commitments. This process is translated into the Open Standardized Urban Data Platform, which plays a pivotal role. Within its main functionalities, data ingestion, analytics and services as vertical domains become necessary to create more environmentally friendly cities. However, there still exist some deficits. Among them, openness and interoperability are outlined. On the one hand, there is a lack of open data initiatives for increasing the smart services stock. On the other hand, interoperability depends upon vendors and integrators, reducing the possibilities of Smart City growth. In this context, under the mySMARTLife project (GA #731297) umbrella, an Open Specifications Framework has been developed in order to address four main issues: (1) data interoperability; (2) services or verticals interoperability; (3) openness; and (4) replicability. It enlightens the implementation and integration of multiple city domains (like infrastructures, mobility, energy, buildings) for smart management and big-data analytics. Its applicability is demonstrated in the three lighthouse cities of the project, Nantes (France), Hamburg (Germany) and Helsinki (Finland).

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Enabling IoT Platform Interoperability Using a Systematic Development Approach by Example

Cited by 17 publications

References 5 publications

Data Spine: A Federated Interoperability Enabler for Heterogeneous IoT Platform Ecosystems

Data Spine: A Federated Interoperability Enabler for Heterogeneous IoT Platform Ecosystems

A comprehensive survey on semantic interoperability for Internet of Things: State‐of‐the‐art and research challenges

Interoperable Open Specifications Framework for the Implementation of Standardized Urban Platforms

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