The System Of Linked Sensor Data Generation In Semantic Web Of Things

Semantic Web of Things (SWoT) is the combination of Semantic Web and Internet of things (IoT), the main aim of which is using the semantic annotation technology of Semantic Web to solve the problem of heterogeneous resource in IoT, in order to achieve the high effective use of resources. As the foundation of IoT, Sensor Network is the main method for application to get information. Since the wide variety of sensor network data and the application requirement which cannot be satisfied by single data source, sensor network data should be integrated with associated resources in Web. To solve the above problem, this thesis takes advantage of ontology annotation technology to add sensor data with semantic information, and uses Linked Data technology to construct linkages between sensor data and associated datasets in Web; at last, Linked Sensor Data is generated.Based on the analysis in Linked Sensor Data generation methods, firstly, the technology of ontology annotation was used to add semantic information for sensor network data, which enables the information and data of Sensor Networks to be understood and used by a variety of applications; Secondly, by analyzing the query method of Linked Data, a method that queried Linked Data based on the set of concept group with inheritance relations was proposed to find Web datasets associated with sensor network data. Thirdly, by researching the method for generating Linkages of Linked Data, a method that compared the similarity of graph based on heuristic property to build links between sensor network data and related datasets in Web was put forward; At last, a Linked Sensor Data Generation System (LSDGS) was built. 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.This thesis implements LSDGS by using Eclipse、Protege and so on. By comparing LSDGS with other dominated Linked Sensor Data generation systems, the experimental result show that LSDGS have an advantage in the aspect of the precision in query Web datasets and the accuracy of building RDF links among datasets.