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From Raw Data to Smart Manufacturing: AI and Semantic Web of Things for Industry 4.0: AI and semantic web of things for industry 4.0

  • MUHAMMAD INTIZAR ALI
  • Center for Experimental Software Engineering (CESE)
  • Insight Centre for Data Analytics Galway
  • Ohio Center of Excellence in Knowledge-Enabled Computing (Kno.e.sis)

Research output: Contribution to a Journal (Peer & Non Peer)Articlepeer-review

118 Citations (Scopus)

Abstract

AI techniques combined with recent advancements in the Internet of Things, Web of Things, and Semantic Web-jointly referred to as the Semantic Web-promise to play an important role in Industry 4.0. As part of this vision, the authors present a Semantic Web of Things for Industry 4.0 (SWeTI) platform. Through realistic use case scenarios, they showcase how SweTI technologies can address Industry 4.0s challenges, facilitate cross-sector and cross-domain integration of systems, and develop intelligent and smart services for smart manufacturing.

Original languageEnglish (Ireland)
Article number8497012
Pages (from-to)79-86
Number of pages7
JournalIeee Intelligent Systems
Volume33
Issue number4
DOIs
Publication statusPublished - 1 Jan 2018

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Keywords

  • Industry 4.0
  • Internet of Things
  • IoT
  • Semantic Web
  • Web of Things
  • artificial intelligence
  • pervasive computing
  • smart manufacturing

Authors (Note for portal: view the doc link for the full list of authors)

  • Authors
  • Pankesh Patel and Muhammad Intizar Ali and Amit P. Sheth

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