SensorMasher: Enabling open linked data in sensor data mashup

Presented at: 8th International Semantic Web Conference (ISWC2009)

by Danh Le Phuoc, Manfred Hauswirth

Webpage: http://kcap09.stanford.edu/share/posterDemos/177/index.html
Webpage: http://kcap09.stanford.edu/share/posterDemos/177/paper177.pdf

In this demo, we demonstrate a plaform which makes sensor data available following the linked open data principle and enables the seamless integration of such data into mashups. SensorMasher publishes sensor data as Web data sources which can then easily be integrated with other (linked) data sources and sensor data. Raw sensor readings and sensors can be semantically described and annotated by the user. These descriptions can then be exploited in mashups and in linked open data scenarios and enable the discovery and integration of sensors and sensor data at large scale. The user-generated mashups of sensor data and linked open data can in turn be published as linked open data sources and be used by others

Keywords: Semantic Web


Resource URI on the dog food server: http://data.semanticweb.org/conference/iswc/2009/paper/poster_demo/177


Explore this resource elsewhere: