Skip to main content
Article
Semantic thingsourcing for the Internet of Things
Concurrency and Computation Practice and Experience
  • Zakaria Maamar, Zayed University
  • Noura Faci, Laboratoire d'Informatique en Images et Systèmes d'Information
  • Said Elnaffar, Canadian University of Dubai
  • Fadwa Yahya, Prince Sattam Bin Abdulaziz University; University of Sfax
  • Khouloud Boukadi, University of Sfax
  • Djamal Benslimane, Laboratoire d'Informatique en Images et Systèmes d'Information
Document Type
Article
Publication Date
1-1-2021
Abstract

In the context of Internet of Things, thingsourcing is poised to promote the collective behavior that should prevail among things despite their independent nature being confined into silos. By analogy with crowdsourcing where crowds of (sometimes anonymous) people are contacted for their expertise, thingsourcing abstracts crowds of things and provides the necessary mechanisms for composing things together so they collectively satisfy users' demands. However, to ensure successful discovery of things according to these demands' requirements, an ontology‐based semantic description of things is deemed necessary. This article presents an approach for enriching things' descriptions semantically in preparation for their composition with respect to specific scripts that define who will do what, when, and where. A system demonstrating semantic thingsourcing along with a case study about dairy supply‐chain is presented in this article as well.

Disciplines
Scopus ID
85118594331
Indexed in Scopus
Yes
Open Access
No
https://doi.org/10.1002/cpe.6684
Citation Information
Zakaria Maamar, Noura Faci, Said Elnaffar, Fadwa Yahya, et al.. "Semantic thingsourcing for the Internet of Things" Concurrency and Computation Practice and Experience (2021)
Available at: http://works.bepress.com/zakaria-maamar/420/