Automatic Knowledge Extraction to Build Semantic Web of Things Applications
Document Type
Article
Publication Date
5-22-2019
Abstract
The Internet of Things (IoT)’s vision is to connect all Things (radio-frequency identification, sensors, actuators, etc.) to the Internet, allowing a wide range of innovations and opportunities in different application domains [1]. Although there has been a massive growth in this domain, currently “developing a single and global ecosystem of Things that communicate with each other seamlessly is virtually impossible” [2]. To achieve the vision of IoT, in which “people and things connected anytime, anyplace, with anything and anyone” [3], interoperability at different layers is required [4], [5].
Repository Citation
Noura, M.,
Gyrard, A.,
Heil, S.,
& Gaedke, M.
(2019). Automatic Knowledge Extraction to Build Semantic Web of Things Applications. IEEE Internet of Things Journal, 6 (5), 8447-8454.
https://corescholar.libraries.wright.edu/knoesis/1161
DOI
10.1109/JIOT.2019.2918327
