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A Semantic-Enabled Platform for Realizing an Interoperable Web of Things.

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Summary
This summary is machine-generated.

The Internet of Things (IoT) faces interoperability challenges. This study presents a platform using semantic web technologies to create a unified IoT ecosystem, enabling cross-platform services and data sharing for over 10,000 devices.

Keywords:
Internet-of-ThingsWeb-of-Thingsinteroperabilityregistrysemantics

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Area of Science:

  • Computer Science
  • Information Science

Background:

  • The Internet of Things (IoT) ecosystem suffers from a lack of interoperability between competing platforms.
  • This results in data silos, increasing costs and limiting market potential for service providers.

Purpose of the Study:

  • To propose and implement a platform that fosters a common IoT ecosystem.
  • To enable cross-platform, cross-standard, and cross-domain IoT services and applications by overcoming data silos.

Main Methods:

  • Leveraging semantic web technologies to address data interoperability.
  • Implementing a platform for resource identification and discovery within a federated IoT environment.

Main Results:

  • The platform successfully federates eleven diverse IoT deployments.
  • It supports over 10,000 IoT devices, processing hundreds of thousands of daily observations.
  • Demonstrates enhanced data interoperability and resource discoverability.

Conclusions:

  • The implemented platform effectively transforms fragmented IoT deployments into a cohesive, web-scale ecosystem.
  • Semantic web technologies are crucial for achieving data interoperability and enabling open IoT ecosystems.