Semantic Interoperability in the IoT: Extending the Web of Things Architecture

Oscar Novo Diaz, Mario Di Francesco

Research output: Contribution to journalArticleScientificpeer-review

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Abstract

The adoption of the Internet of Things is gradually increasing. However, there remains a significant obstacle that hinders its adoption as a truly ubiquitous technology: the ability of constrained devices to unambiguously exchange data with shared meaning. In this respect, the World Wide Web Consortium has developed the Web of Things architecture to provide semantic data exchange. However, such an architecture does not cover all possible use cases and still has important limitations. This article specifically addresses these issues. In particular, it discusses the design and implementation of a solution that extends the Web of Things architecture to achieve a higher level of semantic interoperability for the Internet of Things. The proposed solution relies on a human-assisted translation process and defines an architecture that enhances the semantic compatibility between components in the World Wide Web Consortium and the Internet Engineering Task Force. The effectiveness of the proposed solution is demonstrated through both a quantitative and a qualitative evaluation, in terms of performance and key properties in comparison with the state of the art.
Original languageEnglish
Number of pages25
JournalACM Transactions on the Internet of Things
Volume1
Issue number1
DOIs
Publication statusPublished - Mar 2020
MoE publication typeA1 Journal article-refereed

Keywords

  • semantic technologies
  • Internet of Things
  • semantic interoperability
  • Web of Things

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