Design And Implementation Of SSN Ontology And Geographic Information Semantic Association System

Along with the occurrence and continuous development of semantic sensor network,the sensors from all over the world are constantly producing abundant sensor data.In order to make full use the sensor data,the W3 C organization endues the sensor data with the semantic web technology,and more and more sensor data is released on the network in the format of RDF by SSN ontology.In this way,it is convenient for users to understand the sensor data and find their internal relations by make full use of the heterogeneous sensor data.However,SSN ontology is lack of conceptual description about locations.The location information in SSN ontology is only a textual word which is weak at describing location information of sensors,and some geographical relationship between sensors can not be represented with SSN ontology.The issues make sensor data be used inconveniently.In order to solve these problems,this paper puts forward a method to strengthen the ability of geographical description of SSN ontology with other ontologies which represent the location information.The method can enrich the geographical information of sensor data.The main contributions of this paper are as follows: Firstly,We design the SSN2 Geo ontology based on SSN ontology and GeoNames ontology.The properties and classes of SSN2 Geo ontology are used to represent the geographical information of sensor data.Secondly,we design a strategy of extracting geographical information of sensor data from GeoNames dataset.We build the relationship between sensor data and geographical information by the association strategy.We also design the scaling relationships and logical rules based on the SSN2 Geo ontology,and the scaling relationships are used to describe the potential geographical relationships between sensors.While the semantic reasoning work is supported by the corresponding logical rules.Finally,we design an association system and a semantic query visualization prototype.The former prototype will help users associate sensor information with geographical information.In the latter prototype,the qualified SPARQL query can be generated dynamically and automatically through the scheme according to the query conditions which are chosen by users.And find the sensor information with logic rules based on geographical information.The query results will be displayed intuitively and dynamically in different ways such as Echarts diagrams and Baidu map.It can help users more conveniently complete the work of querying and using the sensor data,and finding the more implicated information.After the sensor information is connected with the geographical information according to the SSN2 Geo ontology,the sensor information can support the diversified query conditions based on the geographical information.And find more information between sensors by reasoning.The method of this paper can improve the utilization efficiency of the sensor information,and reduce the difficulty of querying information.It is beneficial to use and share the sensor information.