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請使用永久網址來引用或連結此文件:
http://nhuir.nhu.edu.tw/handle/987654321/17716
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| 題名: | 二維度網頁文件分類模式 |
| 其他題名: | A Two Dimensional Classification Model for Webpage |
| 作者: | 黃家偉
Huang, Chia-wei |
| 貢獻者: | 資訊管理學系
楊士霆
Shih-ting Yang |
| 關鍵詞: | 標籤區域;眼動追蹤;色彩心理學;知識管理;網頁分類
Knowledge Management;Color Psychology;Eye Movement Tracking;Tag-region;Webpage Classification |
| 日期: | 2013 |
| 上傳時間: | 2015-01-05 11:58:48 (UTC+8) |
| 摘要: | 現今管理者多以資訊分類方式進行管理，以便讓需求者尋找所需之資訊（如網站管理者、圖書管理員等），然而於網頁分類議題當中，多數管理者依靠領域專家所建置網頁分類機制為依據以判定網頁文件類別，但此方式僅考慮網頁當中文字資訊可能導致分類結果與需求者所需之資訊不符，其原因乃缺乏以撰寫者角度為考量，造成分類結果與網頁原意有所差異，此外，由於僅考慮網頁文件當中文字資訊，但網頁文件外部特徵（顏色、圖文編排）亦有可能影響需求者瀏覽結果，造成需求者與管理者對網頁內容理解不同。因此本研究針對網頁文件為基礎發展一套「二維度網頁文件分類模式」，以網頁使用者與網頁設計者角度解析網頁文件文字資訊與網頁顯示特徵。 本研究所提出「二維度網頁文件分類」模式包含「網頁文件區塊分佈與標籤區域權重分配」模組、「網頁文件專業類別判定」模組與「網頁文件意象風格判定」模組。首先，於「網頁文件區塊分佈與標籤區域權重分配」模組中考量使用者與設計者之習慣（如瀏覽網頁瀏覽動線與撰寫網頁微感觀點），並結合眼動追蹤與標籤區域判定網頁重要區塊與重點資訊，接著於「網頁文件意象風格判定」模組擷取網頁當中顏色代碼以計算網頁文件之主要顏色，進而判定網頁文件情緒類別；於「網頁文件專業類別判定」模組則結合關鍵字擷取技術解析網頁文字資訊，以獲知網頁文件之專業類別，最後彙整得知網頁文件二維度類別。本研究發展模式與方法論之外，並依此為依據建構一套系統以進行案例驗證，從而確認方法論與技術之可行性。整體而言，本研究提出一套二維度網頁文件分類模式方法論，期望藉由此方法為依據分類網頁文件資訊內容，以及對需求者情緒影響，讓提供者獲知網頁文件二維度資訊以給予適合需求者之網頁。
Today’s website administrators mainly manage by information classification to allow the demanders to find the necessary information. However, regarding the webpage classification topics, most administrators rely on the webpage classification mechanism built by the experts of the field to determine the webpage categories. Such methods may lack of consideration from the webpage article writer’s perspective, resulting in the differences in classification results and webpage original meanings. Moreover, since only the textual information of the webpage is considered, the display characteristics of the webpage (color, graphic layout) may also affect the browsing results of the demanders and may lead to different understanding of the webpage contents. Hence, this paper develops a Two-dimensional Classification model for webpage to analyze the webpage textual information and display characteristics from the perspectives of webpage users and designers. This model is consisted of the Webpage Block Distribution and Tag-region Weighting (BDTW) module, Webpage Image Style Determination (WISD) module and Webpage Category Determination (WCD) module. First, in BDTW module, the user and designer habits (such as the web browsing movement and the writing perspective of webpage) should be considered by combining with the eye movement tracking and tag-region judgment to determine the critical blocks and information of the webpage. Then, in WISD module, the webpage color codes are acquired to calculate the major colors of the webpage, and further determine the emotional category of webpage. The WCD module analyzes the webpage textual information by integrating the keyword acquisition technology to identify the category of the webpage. After that, the Two-dimensional category of the webpage can be obtained. In addition to the proposed model, this paper also develops a Two-dimensional Classification system accordingly for case verification to confirm the feasibility of the methodology and technology. Overall, this paper proposes a methodology of Two -dimensional Classification for webpage to classify the webpage file information contents and the effects on the emotions of the demanders to assist webpage providers in providing webpage suitable for demanders with the generated two -dimensional information of the webpage. |
| 顯示於類別: | [資訊管理學系] 博碩士論文
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