Semantic Modeling And Resolution Method Of Intelligent Internet Of Things Based On OWL

With the continuous development of intelligent Internet of things technology,the application of intelligent devices permeates all aspects of people’s clothing,food,housing and transportation,providing users with convenient and efficient intelligent services and improving people’s quality of life.However,most of the systems of the Internet of things are developed and built in a closed way,which makes the massive device identification of the access system have the characteristics of heterogeneity and independence,which hinders the application demand of interconnection and interworking of heterogeneous systems.at the same time,the centralized identification system based on cloud has some problems such as low resolution efficiency.Semantic technology is a way to connect the real world and the computer world.Through semantic technology,it can provide a unified and effective identity expression format,solve the problem of heterogeneous system integration and cooperation,and realize the requirements of cross-domain communication and interoperation between devices.Therefore,it is urgent to carry out the research on the analysis system of the identification of the Internet of things based on semantic technology,so as to maximize the ability of interdomain cooperation of heterogeneous terminal devices,which is of farreaching significance to the future development of the Internet of things.Based on the above problems,this paper integrates semantic technology and edge computing technology,and proposes an OWL-based semantic modeling and analysis method for the intelligent Internet of Things,so as to realize the unified specification description and efficient analysis service of terminal identities between domains of the intelligent Internet of Things.Based on the above problems and the integration of semantic technology and edge computing technology,this paper proposes a semantic modeling and analysis method of intelligent Internet of things based on OWL,which realizes the unified specification description and efficient resolution service of terminal identity between intelligent Internet of things.The specific innovations include:1)in view of the heterogeneity of existing Identification and the inability to reflect dynamic attributes,this paper uses ontology and its description language OWL technology to design an intelligent Internet of things semantic model.Through a comprehensive analysis of the application requirements of terminal equipment in the real world and physical world,the semantic expansion is based on OWL,which mainly constructs the service process,service overview,equipment information and service quality ontology,integrates the service quality into the service description,and accurately satisfies the user’s service request.Finally,the application of the power Internet of things scene is taken as an example to prove the effectiveness and availability of the semantic model.2)Considering the resolution efficiency of identification requests,this paper proposes a semantic identification caching and resolution mechanism based on edge computing.First of all,through the introduction of cloud-edge collaboration to complete the identity update.In this paper,a hierarchical collaborative caching strategy based on edge computing is proposed,which stores the identification data in the edge node and improves the service efficiency of IoT identification resolution at the edge.Furthermore,a binary particle swarm cache algorithm based on simulated annealing(BPSO-SA)is designed to optimize the update identification cache.Improve the ability of identity resolution service.Secondly,in order to further improve the efficiency of identity resolution,a resolution optimization method based on inverted index is designed.Through the k-v mapping between the keyword and its storage location,combined with the characteristics of the AVL tree,the online rapid resolution of the identification is realized.