Semantic Collaboration Method Based On Semantic Space In Semantic Web Of Things

IoT (Internet of Things), which links the physical world objects by radio frequency identification and other information sensing device with the Internet, so as to intelligently identify and manage these objects. It is widely acknowledged that as the networks, systems and services of modern IT and communication infrastructures become increasingly complex, communication protocols and data formats in distributed computing systems become heterogeneous, the interaction between agents are also increasingly complex. In order to make agent automatically find resources among themselves, also with share and reuse and combination available information on WWW, so as to collaborate and work mutually, thus it is required to explicitly define the semantics of things. The main strutter of the semantic web-ontology, which can be used to describe information about the objects on the level of semantic and knowledge, in order to be understood by the machine, so as to make the function of Internet of Things has a qualitative improvement, the Internet of Things should actually be SWoT (Semantic Web of Things).In order to exchange and share the information among agents in SWoT, this thesis introduces the theory of semantic space, which is a complex space composed with cyber space, physical space, social space and mental space. Each space is mutually linking and evoluting on the basis of semantic link network and more implicit semantic link information can be inferred follow the rules of linking. Due to different spaces may produce semantic conflicts during the process of semantic linking, which may infer the irrelevant information or even incorrect information about user’s real intention. To solve these problems, forming clusters of agent to collaborate semantic information among spaces is a way to ensure agents are able to communicate on the basis of mutually understanding their semantics, so as to provide more intelligent services to users. Traditional agent clustering methods are mainly based on lexical and/or structural similarities between agent ontology, the necessity of taking into account a semantic component of the similarity value arises, for example by considering the context of an agent ontology term, as well as different agents do not use the same ontology and concept and so on. Based on this, this thesis proposes the semantic collaboration method can be the perspective of recognition, understanding and interaction. Information is collected in the physical space and then uploading to the cyber space, and achieving user’s real needs according to the user’s mental space, through the semantic collaboration between agents, thereby providing the user’s required services through cyber space.According to the above methods, this thesis designs and implements semantic collaboration based on semantic space in semantic web of things SSBSCS. Finally, a test set is used to the experimental verification of the system. The experimental results show that the design prototype system in this thesis is capable of semantic web of things for effective semantic collaboration, and the proposed method in this thesis provides a novel approach to semantic collaboration.