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Towards an IoT framework for semantic and organizational interoperability

Authors: Zarko I. P.; Soursos S.; Gojmerac I.; Ostermann E. G.; Insolvibile G.; Plociennik M.; Reichl P.; +1 Authors

Towards an IoT framework for semantic and organizational interoperability

Abstract

While the current highly fragmented Internet of Things (IoT) ecosystem is characterized by an increasing number of platforms, their interoperability and collaboration is quite challenging to achieve, even more so due to numerous standardization initiatives. However, interoperability remains essential for future IoT deployments to facilitate the emergence of novel cross-domain applications and business opportunities. In this paper we present the interoperability approach pursued by the H2020 project symbIoTe which aims at creating a flexible interoperability framework supporting both semantic and organizational interoperability. While semantic interoperability, as a prerequisite for platform cooperation, has been widely addressed in literature, symbIoTe goes a step further to propose novel aspects of organizational interoperability by introducing a concept of IoT platform federations and roaming IoT devices. We present the symbIoTe architecture, highlight its major technical contributions, and provide an overview of current system implementation with focus on Cloud-based services which create a new perspective on IoT interoperability.

Countries
Croatia, Italy, Austria
Keywords

Internet of Things, IoT, interoperability, platform federation, Smart devices, Internet of Things, Ontologies, Cloud computing, 102025 Distributed systems, Interoperability, Collaboration, 102025 Verteilte Systeme, Ecosystems, Semantics

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
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21
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