Interoperability in IoT through the semantic profiling of objects

Mazayev, Andriy; Martins, Jaime; Correia, Noélia

http://hdl.handle.net/10400.1/11970

Use this identifier to reference this record.

Name:	Description:	Size:	Format:
Interoperability in IoT Through the Semantic 11970.pdf		2.78 MB	Adobe PDF	Download

Send Feedback

Authors

Mazayev, Andriy

Martins, Jaime

Correia, Noélia

Abstract(s)

The emergence of smarter and broader people-oriented IoT applications and services requires interoperability at both data and knowledge levels. However, although some semantic IoT architectures have been proposed, achieving a high degree of interoperability requires dealing with a sea of non-integrated data, scattered across vertical silos. Also, these architectures do not fit into the machine-to-machine requirements, as data annotation has no knowledge on object interactions behind arriving data. This paper presents a vision of how to overcome these issues. More specifically, the semantic profiling of objects, through CoRE related standards, is envisaged as the key for data integration, allowing more powerful data annotation, validation, and reasoning. These are the key blocks for the development of intelligent applications.