Context-aware Based Service Select Method In Semantic Web Of Things

Internet of things(IoT)is a huge network composed of various smart information sensing devices.As the incompleteness and uncertainty arisen from IoT' s information hinder the information coordination and interaction of IoT,the semantic technology should be introduced into IoT,so that Semantic Web of Things(SWoT)ocurrs.The characteristics of services in SWoT appear as mass,openess,dynamicity,in-completeness and heterogeneity,which may cause hard to select services on user needs.To solve this problem,a SWoT-oriented context aware-based service selection method is proposed.In this method,the semantics,the explicit,implicit preferences and context in-formation of user' own for service selection are mutually considered.Firstly,owing to the ambiguity of information in service library and expression from users,annotate,classify and select them semantically in easier cooperating and interacting manner to meet users'needs.Secondly,obtain the explicit and implicit preferences of users and select the candi-date service set to satisfy their preferences,where the explicit preferences can be obtained from users directly,and the implicit ones can be gotten by reasoner through combining context information from physical sensor devices with fuzzy rules.Thirdly,quantize,dis-cretize and normalize the candidate service set,assign it as the input of firefly-optimized neural network,which can select the optimal firefly to determine the weights and thresh-olds of neural network to improve the training efficiency,and return an ordered service list to users.To verify the proposed methods,a SWoT-oriented context aware-based service selec-tion prototype system(SWoT-CBSS)is designed,which is divided into four modules as service semantic annotation,service classification,service screening and firefly-optimized neural network for realizing the functions of semantic annotation,classification and se-lection,and the process of service selection is implemented and examined as a case of hotel service selection.The experimental results reveal that the system of SWoT-CBSS is effective in service selection at precision and recall but a bit lower in response time,and can provide users with well-fitted services on their needs.