Research Of Modeling And Reasoning For Event Context On Internet Of Things

The Internet of Things(IOT)is a very significant part of modern information technology.With the rapid development of sensor networks and RFID technology,the Internet of things technology has realized the transition from concept to the actual.In the IOT,the key technology is the middleware technology and the complex event processing(CEP)is one of the core content of the middleware.In the CEP,context awareness and processing has very important value,but in our life the event and its context are usually uncertain,so it is the difficulties of the study to how to deal with the uncertain events.In order to solve the above problem,this paper introduces the ontology and its related technology to the construction method of a complex event context.In this paper,we will make a reasonable and effective representation,modeling,reasoning for the event context,and the main work includes three points.First,in the paper,to represent the fuzzy information of the event context,we combine the feature of the event processing based on fuzzy ontology framework to design a kind method of fuzzy ontology representation for event context by usin g OWL2 language and adding fuzzy label to annotate the fuzzy information in the fuzzy context.At the same time,we use the method to represent the event context about IOT to prove its feasibility.Second,in the model of the multi-level context of complex event architecture,because of building more than one event context fuzzy ontology,we put forward the model of general and sharing fuzzy top-level ontology to show event context based on OWL2 language,by establishing semantic modeling and semantic description about fuzzy membership functions and fuzzy modifier,fuzzy concepts.And we use the model to construct the event context ontology about IOT.Finally,to reason for multi-level context,we design a distributed context reasoning algorithm based on fuzzy evidence theory and proposed to extend the fuzzy description logic to realize the fuzzy context ontology parsing.And we analyze the feasibility and rationality of the representation and modeling for event context proposed in this paper by doing experiments.