Monitoring Urban Traffic using Semantic Web Services on Smartphones - A Case Study

O. Kleine, S. Ebers, Myriam Leggieri


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.
Original languageEnglish
Title of host publicationSWANSITY 2015 - 2nd Workshop on Smart Wireless Access Networks for Smart cITY (IEEE SECON Workshop) (SWANSITY 2015)
Number of pages6
Place of PublicationSeattle, USA
Publication date22.06.2015
ISBN (Print)978-1-4673-7391-3
ISBN (Electronic)978-1-4673-7392-0
Publication statusPublished - 22.06.2015
Event12th International Conference on Sensing, Communication, and Networking - Seattle, United States
Duration: 22.06.201525.06.2015
Conference number: SECON Workshops


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