Ontology And Signature Graph Combined Sensor Query In Semantic Web Of Things

The Internet of Things(IoT)allows people and things to be connected anytime,anyplace,with anything and anyone,ideally using any network Semantic Web of Things(SWoT)is an improved form of IoT by exploiting Semantic Web technology to solve heterogeneity of resource effectively.With the rapid development of IoT,more and more sensors have been deployed as infrastructure.How to search the user re-quired sensors is one of the most important functionalities of SWoT.However,in terms of current sensor query methods,there exist two major problems,which are the disability to effectively use of semantic information and the data characters of sensor information.To solve above problems,this paper proposed an ontology and signature graph combined sensor query method in SWoT.Firstly,this method used context related sensor ontology to realize semantic annotation of sensor information in order that the sensor information had unified format and clear specification,in addition,the context related semantic information could describe the sensor state,and it is beneficial to query the most satisfied sensors.Secondly,user keyword query was transformed to a more accurate structured query according to the sensor ontology,so that improved the precision of the query result and reduced the heavy burden for users to know the spe-cific details of transformation and relevant query technology.Lastly,according to the data characters of sensor information,including RDF description format and uncer-tainty,this paper employed signature graph based query method and threshold algo-rithm to improve the query efficiency.According to the above-proposed query method,the sensor query system was designed and developed.In the design section,this paper detailed data flow diagrams and database tables.In the implementation section,this paper described the develop-ment platform,tools,implementation steps,and implementation interfaces.In the ex-periment part,the comparison to other classical sensor query methods reveals that the proposed method in this paper has some special advantages in respects of accuracy and efficiency.