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Semantic IoT Solutions - A Developer Perspective

  • Hamza Baqa
  • , Martin Bauer
  • , Sonia Bilbao
  • , Aitor Corchero
  • , Laura Daniele
  • , Iker Esnaola
  • , Izaskun Fernández
  • , Östen Frånberg
  • , Raúl García-Castro
  • , Marc Girod-Genet
  • , Patrick Guillemin
  • , Amélie Gyrard
  • , Charbel El Kaed
  • , Antonio Kung
  • , Jaeho Lee
  • , Maxime Lefrançois
  • , Wenbin Li
  • , Dave Raggett
  • , Michelle Wetterwald

Producción científica: Informe/libroLibrorevisión exhaustiva

4 Descargas (Pure)

Resumen

Semantic technologies have recently gained significant support in a number of communities, in particular the IoT community. An important problem to be solved is that, on the one hand, it is clear that the value of IoT increases significantly with the availability of information from a wide variety of domains. On the other hand, existing solutions target specific applications or application domains and there is no easy way of sharing information between the resulting silos. Thus, a solution is needed to enable interoperability across information silos. As there is a huge heterogeneity regarding IoT technologies on the lower levels, the semantic level is seen as a promising approach for achieving interoperability (i.e. semantic interoperability) to unify IoT device description, data, bring common interaction, data exploration, etc.
Idioma originalInglés
DOI
EstadoPublicada - oct 2019

Palabras clave

  • Semantic information
  • Semantic annotation
  • Annalytics
  • Reasoning

Project and Funding Information

  • Project ID
  • info:eu-repo/grantAgreement/EC/H2020/732240/EU/SynchroniCity: Delivering an IoT enabled Digital Single Market for Europe and Beyond/SynchroniCity
  • info:eu-repo/grantAgreement/EC/H2020/688467/EU/Open virtual neighbourhood network to connect intelligent buildings and smart objects/VICINITY
  • Funding Info
  • This work has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreements No.732240 (SynchroniCity) and No. 688467 (VICINITY); from ETSI under Specialist Task Forces 534, 556, 566 and 578. This work is partially funded by Hazards SEES NSF Award EAR 1520870, and KHealth NIH 1 R01 HD087132-01.

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