Semantic Collaboration System Based On Smart-M3 In Semantic WEB Of Things

In recent years,through research and development of Internet of things technology,its framework and applications gradually become mature.It sends the sensor of the physical world to the network through the Internet,thus we achieve global information sharing.At the same time,it can carry out a certain intelligent processing on this basis.The applying patterns of Internet of things mode can be summarized as three aspects:comprehensive per-ception,reliable transmission,intelligent processing.However,the inherent contradiction of the current Internet of things restricts the development in the intelligent processing of in-formation.In other words,the information representation of objects is diversified,and the information understanding of using main bodies is inadequate.In order to solve this prob-lem,we introduce the semantic annotation and ontology into the Internet of things.At the semantic level,the information is described,which is beneficial to understanding informa-tion and further reasoning for machines and devices.As a result,semantic web of things has been formed.Because of information heterogeneity,equipment resource limited in the underlying devices,the operation of the devices is interactional.In this paper,a semantic collaboration approach based on Smart-M3 intelligent space is proposed,which can solve the problem of interoperability of resource constrained devices.The most important peculiarity of the semantic Internet of things is the realization of the intelligent,and the intelligent space is the basis of its implementation background.In this paper,the intelligent space environment is formed to finish semantic collaboration by the existing Smart-M3 intelligent space platform.Firstly,importing an existing user ontology and intelligent spatial ontology analyzes the ontology.Secondly,the user issues smart space service request through the smart space knowledge process devices.Semantic collaboration system achieves ontology matching of knowledge information through sematic information broker.By calculating the edit distance,semantic distance computation and graph matching mixed methods have been achieved,which can match the devices of meeting the needs of users.Finally,According to the matching results,the atomic service is obtained,and then the high-level scene ontology is obtained through the rule based reasoning,and the service recommendation is carried out to provide the service for the users to meet the needs.In this paper,we design and implement the semantic collaboration system based on the smart-m3,According to the function,the design can be divided into ontology importing and parsing module,semantic querying and updating module,ontology matching module,based on rule reasoning module,service releasing and pushing module and so on.This paper focuses on the realization of the semantic query and update module,ontology matching mod-ule,and service releasing and pushing module.The validity and accuracy of the system are verified by the ontology matching experiment.In this paper,the design of semantic collab-orative system can achieve effectively semantic matching of intelligent spatial information,and to a certain extent,it can enhance the semantic collaboration between heterogeneous and resource constrained devices.