A semantic data model for the interpretion of environmental streaming data

Authors: 
Allan Hanbury
Allan Hanbury
Allan Hanbury
Allan Hanbury
Type: 
Speech with proceedings
Proceedings: 
Information Science and Technology (ICIST)
Publisher: 
IEEE978-1-5090-5401-5
Pages: 
376 - 380
Year: 
2017
ISBN: 
Abstract: 
IoT Data and smart data is the most important key in research on particulate domain. This paper we present a semantic data model for environment system by propose a light-weight semantic ontology approach for represent IoT data with Semantic Web. By using a cross-domain knowledge by extend SSN ontology combine with other domain specific to mapping sensor streaming data and annotation sensor.
TU Focus: 
Computational Science and Engineering
Reference: 

A. Tjoa, H. Hoang, G. Quirchmayr, T. Duy:
"A semantic data model for the interpretion of environmental streaming data";
Vortrag: ICIST 2017 Seventh International Conference on Information Science and Technology, Da Nang, Vietnam; 16.04.2017 - 19.04.2017; in: "Information Science and Technology (ICIST)", IEEE978-1-5090-5401-5, (2017), S. 376 - 380.

Zusätzliche Informationen

Last changed: 
01.06.2017 10:23:48
Accepted: 
Accepted
TU Id: 
259918
Invited: 
Department Focus: 
Business Informatics
Author List: 
A. Tjoa, H. Hoang, G. Quirchmayr, T. Duy
Abstract German: