Talks and Poster Presentations (with Proceedings-Entry):
A. Tjoa, H. Hoang, G. Quirchmayr, T. Duy:
"A semantic data model for the interpretion of environmental streaming data";
Talk: ICIST 2017 Seventh International Conference on Information Science and Technology,
Da Nang, Vietnam;
2017-04-16
- 2017-04-19; in: "Information Science and Technology (ICIST)",
IEEE978-1-5090-5401-5,
(2017),
376
- 380.
English 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.
Keywords:
semantic web, stream data, RDF stream, SSN, light-weightoOntology, smart data
"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)
http://dx.doi.org/10.1109/ICIST.2017.7926788
Electronic version of the publication:
http://publik.tuwien.ac.at/files/publik_259918.pdf
Created from the Publication Database of the Vienna University of Technology.