網路從1980年代早期發展至今，已經歷了許多階段。從早期少量電腦彼此溝通，至如今有上億個計算能力的節點或行動裝置彼此交流。伴隨著硬體技術的進步，物聯網儼然成為網路的下一個發展階段。當我們周遭的東西都可接上網路，彼此傳送訊息並擁有一定程度的計算能力時，相應而來的應用不勝枚舉。如何從這些大量的資訊中找出有意義的資訊(Context)，並藉由這些資訊提供便利的服務(Service)，已成為IoT應用的重大議題。 我們認為，要充分利用這些資訊，必須對其做系統化的管理(Context Management)。參考現有的研究，資訊的生命週期分為四個階段: 獲得(Context Acquisition)、塑模(Context Modeling)、推理(Context Reasoning)、發佈(Context Distribution)。一個好的管理必須經歷這四個階段，才能提供完善的資訊以及便捷的服務給使用者。 本研究著重在塑模(Context Modeling)的部分，由使用者的角度分析Context於物聯網應用中的定義並建構其Metamodel，由開發者的角度提出感測資料對應到Context的方法。期待能協助物聯網應用情境之塑模以及未來研究之開發。 ;Evolution of Internet is very fast since 1980s. In the early age, there are some devices which can connect each other by internet. But now, there are hundreds of thousands of devices which can connect each other by internet. With the evolution of device technology, Internet of Thing will be a trend. How to identify the meaningful information from these devices? And how to use the information to provide services? These are part of the big issues of Internet of Thing. In our opinion, we should manage the information by systematic methodology. Reference others’ research, the information’s lifecycle include four stages, they are Context Acquisition, Context Modeling, Context Reasoning, and Context Distribution. If we want to well mange the information and provide the service to users, we should do the four stages. In this research, we focus on Context Modeling part. We analyze the Context Definition to find the properties on it, and build the Context Metamodel. We also propose a methodology to map sensed data to Context.
