@INPROCEEDINGS{kleine15,
AUTHOR="Kleine, O. and Ebers, S. and Leggieri, M.",
TITLE="Monitoring Urban Traffic using Semantic Web Services on Smartphones - A
Case Study",
BOOKTITLE="SWANSITY 2015 - 2nd Workshop on Smart Wireless Access Networks for Smart
cITY (IEEE SECON Workshop) (SWANSITY 2015)",
ADDRESS="Seattle, USA",
MONTH="6",
YEAR=2015,
KEYWORDS="Internet of Things, Web of Things, Semantic Web, Linked Data, own",
ABSTRACT="The Internet of Things aims to integrate arbitrary things with the
Internet. Sadly, the majority of things lacks of the ability to communicate
which makes a direct integration with a communication network, i.e., the
Internet, impossible. We overcome this limitation by introducing refined
versions of Semantic Entities, with special Web Services, representing
arbitrary real-world things states using (possibly aggregated) sensor
values. Sensors can be considered ubiquitous, e.g., due to the omnipresence
of smartphones.
Our architecture of a Semantic Web of Things bases on sensors providing
their measurements in RDF. We account for the common fact of resource
constraints on sensor platforms by introducing a scalable caching mechanism
for RDF data within a network of proxies (SSPs). Consequently, the
individual Semantic Entities find and aggregate relevant (sensor) data via
SPARQL. Besides scalabilty, the proxies also solve the issue of the sensor
platforms diversity in terms of communication interfaces."
}