隨著全球資訊網（World Wild Web，簡稱WWW或Web）的日趨普及，我們發現愈來愈多的資料是直接從網路上呈現與存取的。不同於過去關聯式資料庫(Relational Database Management Systems，RDBMS)的結構式資料(Structured Data)。現今許多資料都是直接以HTML(Hypertext Markup Language)格式呈現，然而HTML 的標籤只是在做資料的呈現。為了讓網際網路上的資料可真正順利傳達於組織間，新興的XML逐漸受到重視。相較於HTML，XML標籤是在做資料的定義，讓定義好的資料直接透過網際網路傳達於組織間，具有在組織間再使用(Reuse)的能力，因此現在逐漸成為組織間資料整合與轉換時一個好的解決方式。但面對傳統的關連式資料庫又該如何與XML文件整合(Data Integration)的動作，讓兩種不同來源的資料能夠相互運算(Interoperability)，達成異質性資料的同質化(Homogeneous)的功效。使不同來源的資料可雙向的互相溝通，是目前急欲被探討的問題。因此本研究便發展了對關聯式資料庫與XML文件兩種來源相互轉換的溝通機制，讓資料能在這兩種來源間相互交換與利用。 / With the popularity of WWW( World Wild Web or Web )，we have seen large volume of data is available on the Web. Different from the data stored in traditional RDBMS (Relational Databases Managements Systems) which is structured data, huge data now is stored directly in the form of HTML (Hypertext Markup Language) pages. For representing data and interchange data between multiple data sources on the Web, XML (Extensible Markup Language) is a fast emerging as the dominant standard. Like HTML, XML is a subset of SGML. However, whereas HTML tags serve the primary purpose of describing how to display a data item, XML tags describe the data itself. The initial impetus for XML may have been primarily to enhance this ability of remote applications to interpret and operate on documents fetched over the Internet, so it has become the best solution now to solve the problems with data exchange and translation between the multiple sources. But XML also raises a problem: how to integrate XML documents with data stored in the traditional RDBMS. The objective is to communicate bi-directional data sources between RDBMS data and XML documents, and has the ability to interoperate data between multiple data sources. Finally, reach the purpose of heterogeneous data become homogeneous. In this research, we try to develop a translation model between RDBMS data and XML documents, in order to exchange and reuse data between different sources.

由於電子化病歷逐漸取代了傳統的紙本病歷，在流通分享上面比傳統的紙本病歷更加來的方便及快速，另外電子病歷的整合性，也是比傳統的紙本來的有效。近年來雲端運算的發展，使得醫療系統在電子病歷上能夠更快速的發展，但是取而代之的是卻是雲端運算所產生隱私權的問題，在快速發展的雲端運算環境中，目前似乎無法完全確保資料的隱私性。即使現有的研究中可以讓資料擁有者表示自己的隱私偏好，卻因為設計時缺乏語意的考量，造成執行上有語意的落差。 本研究將探討電子病歷存放在雲端環境上，設計一套三層整合平台系統並使用語意化技術本體論整合來自多方的資料，達成在資料庫上使用OWL2作為整合的語言，並在此整合平台進行本體論整合，能夠讓使用者可以從多方的醫療中心快速查詢整合的資料，經由整合平台的改寫，到下層的規範擷取到上層平台進行管理與落實動作，最終在資料庫查詢資料，達成整合分享的目標，並同時能夠兼顧資料擁有者的隱私期待，完成在雲端環境上資料分享、整合、隱私保護的目標。 / The Electronic Health Records (EHRs) have replaced the traditional paper Health Records gradually and they are more rapid and more convenient in data sharing. Furthermore, the EHRs are also better than paper health records when health records need to be integrated on the computer. In recent years, the rapid development of cloud computing can help Health Information System to be more dynamic and provide a better service, but the problem of privacy is a critical issue. Although recent research can let data owner expresses his own personal privacy preference in to policy to protect privacy, it is lacked of semantics and that will result in the gap between the real meaning of personal privacy preference and of policy. In our research, we will using semantic technology to express personal privacy preference in to polices and also design the 3-layer integration platform to achieve semantics data integration so that polices can be enforced without loss of real meaning of personal privacy preference and polices will have interoperability with others when we are using semantic data integration.