IoT Thing to Service Semantic Matching

Nisrine Bnouhanna, Rute C. Sofia, Alexander Pretschner

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

We propose an automated IoT data source (Thing) to service semantic matching mechanism that selects an optimal set of available IoT data sources in order to satisfy service requirements and needs. The main motivation is to provide a better use of data captured via IoT data sources. To achieve this goal, we propose a three-fold approach: (i) modelling service requirements based on existing service descriptions; (ii) automating the selection of an optimal set of Things that best meet the service requirements; (iii) selecting data processing services that provide additional service requirements.

Original languageEnglish
Title of host publication2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages418-419
Number of pages2
ISBN (Electronic)9781665404242
DOIs
StatePublished - 22 Mar 2021
Event2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2021 - Kassel, Germany
Duration: 22 Mar 202126 Mar 2021

Publication series

Name2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2021

Conference

Conference2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2021
Country/TerritoryGermany
CityKassel
Period22/03/2126/03/21

Keywords

  • IoT systems
  • Things
  • semantic matching
  • service requirement

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