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Linked sensor data publishing system in semantic Web of things
CUAN Linna, SHI Yimin, LI Guanyu, WU Xuehua
Journal of Computer Applications    2015, 35 (9): 2440-2446.   DOI: 10.11772/j.issn.1001-9081.2015.09.2440
Abstract1014)      PDF (1028KB)(303)       Save
To solve the problems that there are differences in presentation and transmission of sensor network data and the application requirement cannot be satisfied by single data source, a method of publishing sensor network data as linked sensor data was proposed. Based on the analysis of linked sensor data publishing methods, firstly, the technology of ontology annotation was used to add semantic information to sensor network data; secondly, a method that queried linked data based on the set of concept group with inheritance relations to find Related Web Datasets (RWD), and a method that compared the similarity of graph based on heuristic property to build links between sensor network data and related datasets on Web were put forward; at last, a Linked Sensor Data Publishing System (LSDPS) was built. Comparing LSDPS with other classical linked sensor data publishing systems, the accuracy of building Resource Description Framework (RDF) links among datasets was raised about 9%. By publishing sensor network data as linked sensor data, the applications can not only understand and take advantage of sensor network data, but also obtain related resource according to RDF links among linked sensor datasets.
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