Title :
Linked sensor data
Author :
Patni, Harshal ; Henson, Cory ; Sheth, Amit
Author_Institution :
Dept. of Comput. Sci. & Eng., Wright State Univ., Dayton, OH, USA
Abstract :
A number of government, corporate, and academic organizations are collecting enormous amounts of data provided by environmental sensors. However, this data is too often locked within organizations and underutilized by the greater community. In this paper, we present a framework to make this sensor data openly accessible by publishing it on the Linked Open Data (LOD) Cloud. This is accomplished by converting raw sensor observations to RDF and linking with other datasets on LOD. With such a framework, organizations can make large amounts of sensor data openly accessible, thus allowing greater opportunity for utilization and analysis.
Keywords :
program compilers; sensor fusion; LOD; RDF; environmental sensors; linked open data; linked sensor data; resource description framework; Clouds; Computer science; Data engineering; Government; Hurricanes; Joining processes; Publishing; Resource description framework; Sensor phenomena and characterization; Standardization; Dataset Generation; Linked Data; Resource Description Framework (RDF); Semantic Sensor Web; Sensor Data; Sensor Web Enablement;
Conference_Titel :
Collaborative Technologies and Systems (CTS), 2010 International Symposium on
Conference_Location :
Chicago, IL
Print_ISBN :
978-1-4244-6619-1
DOI :
10.1109/CTS.2010.5478492