當資訊需求者透過網際網路閱讀一份資料時，其往往因無法理解該資料之特定字句、或對於該資料之特定內容感到興趣而進一步搜尋該特定字句或內容之相關資料。然而，此些相關資料往往僅為特定說明網頁而非多元之參考資料，故此類特定說明網頁乃可能無法滿足資訊需求者之需求，而致使資訊需求者額外花費時間搜尋其欲釐清之特定字句或內容的相關資料。
為改善上述過程之效率及效能，本研究乃提出一套「文件內容之擴增實境與其視覺化模式」。此模式乃包含「現行補充資料內容解析」前置作業及「補充資料內容分析及特性呈現」方法論，而此方法論又包含「補充資料內容解析」、「補充資料面向解析」、「補充資料基本特性評估」、「補充資料特質視覺化」等四大階段。具體而言，此方法論乃先針對資訊需求者所欲閱讀之目標文件及對應之相關資料進行內容解析，並根據解析結果釐清目標文件所對應之補充資料；之後，此方法論乃以詞彙關聯性及向量空間模型等概念為基礎將此些補充資料予以分群，以推論此些補充資料所對應之主題、面向，再以類神經網路方法評估各補充資料內容之多項特性；最後，此方法論乃將各補充資料之面向及特性等資訊以視覺化方式呈現。
其次，本研究乃根據此模式開發對應之系統平台，以針對資訊需求者所欲閱讀之目標文件建構對應之擴增實境，進而呈現目標文件之補充資料及對應之關鍵資訊。之後，本研究乃以品質主題相關之資料測試所提出之模式及所開發之系統的績效表現，並得知此模式及系統能提升資訊需求者閱讀目標文件之效率，亦能使其更有效地瞭解目標文件之所有細項內容。

As a person searches and reads documents of specific topic over the Internet, he/she might not understand or might be interested in some particular, confusing terms of the documents and might try to access some other references in order to clarify these confusing terms. However, there might be only few references linked to the documents via hyperlinks and these references usually provide limited ideas or concepts, which might cause the person to spend time on searching and filtering helpful references.
In order to improve the efficiency and effectiveness for studying and comprehending the contextual content, this research develops a model for construction and visualization of augmented reality for the contextual content. Firstly, this research analyzes a great number of target documents and identifies some reference documents corresponding to the target ones. Secondly, a model is developed for analyzing these reference documents and transforming the documents into structured ones. After that, the proposed model can be applied for analyzing the topics and evaluating the characteristics of each structured document by using the vector space model and the neural network method. Finally, the proposed model can visually display the topics and characteristics of reference documents with respect to the target one to the reader.
Based on the proposed model, this research develops a corresponding system to virtually construct the augmented reality for the target documents. Afterwards, this research designs some experiments to check the performance of the proposed model and constructed system. Consequently, the result of the experiments shows that the proposed model and system can effectively assist readers to understand the target document deeply and quickly.

摘要 I
Abstract II
圖目錄 VI
表目錄 XII
第一章、研究背景 1
1.1研究動機與目的 1
1.2研究步驟 5
1.3研究定位 8
第二章、文獻回顧 12
2.1文件主題分群/分類 12
2.1.1以監督式方法推論文件主題 12
2.1.2以半監督式方法推論文件主題 19
2.1.3以非監督式方法推論文件主題 24
2.2文件價值評估 32
2.2.1以文件特性為基礎之文件價值評估模式 32
2.2.2以資訊需求者回饋為基礎之文件價值評估模式 40
2.3標的物擴增實境建構 50
2.3.1擴增實境方法發展 50
2.3.2擴增實境方法應用 56
2.4小結 64
第三章、文件內容之擴增實境與其視覺化模式 67
3.1現行補充資料內容解析 69
3.1.1補充資料基本元素與基本特性之關係釐清 69
3.1.2補充資料基本元素特徵釐清 72
3.2補充資料內容解析 78
3.3補充資料面向解析 109
3.4補充資料基本特性評估 137
3.4.1補充資料基本元素與基本特性之關係模式建構 140
3.4.2補充資料基本特性推論 160
3.5補充資料特質視覺化 172
3.6小結 190
第四章、系統規劃與架構 192
4.1系統核心架構 192
4.2系統功能架構 194
4.3資料模式定義 197
4.4系統功能運作流程 200
4.4.1系統操作功能流程 200
4.4.2系統資料傳遞流程 206
4.5系統開發工具 207
第五章、系統績效驗證與分析 209
5.1模式與系統之執行過程與結果 209
5.1.1補充資料內容解析 209
5.1.2補充資料面向解析 211
5.1.3補充資料基本特性評估 218
5.1.4補充資料特質視覺化 220
5.2模式與系統之績效驗證 225
5.3驗證結果分析 240
5.3.1第一階段驗證結果分析 241
5.3.2第二階段驗證結果分析 266
5.3.3第三階段驗證結果分析 273
5.3.4驗證結果整體分析 273
第六章、結論與未來發展 278
6.1論文總結 278
6.2未來發展 281
參考文獻 284
附錄A、現行補充資料內容解析 291
A.1基本特性影響因素 291
A.2具顯著影響性之基本元素 293
A.2.1補充資料基本元素與補充資料基本特性間之關係分析 293
A.2.2補充資料基本元素間之交互作用與補充資料基本特性的關係分析 324
A.3補充資料內容解析過程 335
附錄B、系統功能操作說明 415
B.1一般使用者功能 415
B.2系統管理者功能 425
附錄C、系統驗證資料解析 427
附錄D、「補充資料特質視覺化」議題之問卷設計 449
D.1第三階段驗證之目標文件內容 449
D.2第三階段驗證之目標文件相關問題內容 452
附錄E、第二階段各週期之驗證結果呈現 457
E.1目標文件及補充資料內容結構化 457
E.2補充資料面向解析 457
E.3補充資料基本特性評估 480

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