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研究生:許嘉容
研究生(外文):Chia-Jung Hsu
論文名稱:關聯圖形化之健康網站資訊呈現技術應用:以SARS網站資訊查詢與呈現為例
論文名稱(外文):Application of Graphical Relational Representation Techniques in Healthcare Website:Taking SARS Website Information Query and Representaion as an Example
指導教授:張博論張博論引用關係
指導教授(外文):Polun Chang
學位類別:碩士
校院名稱:國立陽明大學
系所名稱:衛生資訊與決策研究所
學門:醫藥衛生學門
學類:公共衛生學類
論文種類:學術論文
論文出版年:2004
畢業學年度:92
語文別:中文
論文頁數:89
中文關鍵詞:健康網站資訊呈現關聯圖形資訊搜尋嚴重急性呼吸道症候群
外文關鍵詞:Healthcare WebsiteInformation RepresentationGraphical Relational RepresentationInformation QuerySARS
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「健康網站基金會(Health On the Net)」最近2002年調查發現民眾並不是很滿意目前網路上協助尋找資訊的工具,因此,改善資料蒐集整理及網站資訊呈現方面的問題,一直是一個重要的研究課題。
為了改進HTML對於目前網頁文件資訊呈現方式的限制,本研究採用XML格式做為文件資料庫來進行資料的建置及交換,先由網站文件管理者以屬性建立文件的相關屬性,再透過系統搜尋處理建立文件之間的關聯性,然後以SVG格式繪圖來呈現使用者瀏覽介面中的關聯圖形並表現更多的互動功能,以此改變目前網站提供的資訊瀏覽方式,讓進入系統網站內的一般網路資訊搜尋者可以藉由得知文件之間的相關性以及直覺化的圖形點選方式,來獲取所需的資訊。對於散佈各處的資訊,可以一致性的XML文件規範,由網站文件管理者透過本系統將資訊整合至網站之中,減少資訊搜尋者跨站搜尋資訊的困擾。
SARS爆發流行時,資訊雜亂且充滿變動性,網站文件管理者不易整理文件資料,造成大眾對於不確定資訊搜尋的困擾,因此,在實作上系統以SARS疾病為例,測試系統的成效。
結果評估顯示,對於系統所提供的操作瀏覽資訊的方式,使用者覺得容易使用且有助於瞭解資訊的內容及相關性,因此可改善瀏覽搜尋資訊的效率。在未來應用上,可以結合關鍵字搜尋引擎或是自然語言處理系統,輔助文件管理者建立文件資料庫的工作。
According to the survey of Health On the Net (HON) in 2002, browsing through the website is the major method to get information, but most people do not satisfy the searching function that website provided. Because of that, for a web manager, data collection, management and information representation has become an inevitably important research issue.
To resolve the restrictions of HTML-based content representation, we have designed a system based on a database conforming to the XML language. The mechanism starts from setting the attributes of information by the website manager to each article such that then relations between articles could be established. The relation, presented by an interacted graphic interface based on SVG language, could then very according to what users queries. In such a way, the users can find out what they want more efficiently than they did traditionally due to the extra relationship information among various information content.
The Website information in the Severe Acute Respiratory Syndrome (SARS) period was taken as the example to be reconstructed to examine the efficiency of the approach proposed in this study. During the outbreak of SARS disease, the enormous amount of unmanaged information had caused enormous confusion to users. At that period, the information searchers could not find the interested information easily.
The results show that the new approach could help users to find and understand the contents and relationship among different information source more efficiently. The keyword searching or natural language processing techniques could be used together with the approach in this study to assist content manager to setup a better, well-integrated content database.
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