隨著無線通訊科技的快速發展，除了利用桌上型電腦之外，越來越多人使用各式各樣不同的行動裝置搭配無線傳輸科技下載並且處理網際網路上大量的資訊。在這新的運算平台轉移之際，有兩項挑戰仍需被克服：首先，因為行動裝置必須滿足可攜帶性，在設計上體積不能太大，重量也不能過重，使得行動裝置在運算資源的擴充上受到限制功能無法與桌上型電腦相當；其次，行動裝置在軟硬體配備、網路支援等資源上之異質性造成同樣的一份文件，不能保證在每一台裝置上都能夠正確的顯示且沒有資訊遺失的問題。如此之限制及多樣性造成了網頁內容提供者在設計網頁內容時的極大困擾。
本研究利用語意網路豐富的資源描述能力，設計了一個以代理伺服器為基礎的網頁內容調適架構，透過對於使用者情境以及資源的語意描述協調出最符合客戶端裝置各項屬性的網頁內容，銜接行動裝置在存取網際網路資源時因為各種軟硬體限制所造成的鴻溝。透過推論機制的使用，實作一個具通透性、彈性、可擴充性的網頁內容調適系統，達到網頁單一版本、自我調適等功能，間接落實裝置獨立、網頁無障礙等原則。

With the rapid development of wireless communication technology, in addition to desktop computers, more and more computer users increasingly take advantage of various mobile devices to access web resources from internet. The shift from predominantly deskbound workforce to mobile workforce is an illustration of the impact of ubiquitous computing. To meet such trend, we think two challenges need to be resolved: firstly, to support portability, the size of mobile devices must be small, and their weight should be light. Due to such characteristics, mobile devices are limited in computation capability. Secondly, due to the heterogeneity of devices, one document could be displayed well in one device, but messed up in another. While browsing web using mobile devices , users will suffer from distractions like information lost, broken image, etc.
We design and implement a Content Adaptation prototype system to bridge over the challenges to the mobile computing paradigm. By exploiting Semantic Web technology, device capabilities and user preferences could be extracted and inferenced by inference engine to determine proper transcoding parameters. We obtain a Content Adaptation System with transparency, flexibility, and scalability benefits.

1 緒論	1
1.1 研究背景	1
1.2 研究動機	4
1.3 論文架構	5
2 相關研究	6
2.1 以代理伺服器為主的網頁內容調適架構	6
2.2 特定網頁內容改編演算法	12
2.3 語意網路及網頁內容調適	14
3 系統分析與架構	18
3.1 系統設計原則	18
3.1.1 裝置獨立	19
3.1.2 網頁存取性	20
3.1.3 內容調適系統的部署	21
3.2 系統需求	23
3.3 語意網路	24
3.3.1 XML基本架構	28
3.3.2 RDF及RDF Schema基本架構	29
3.3.3 語意網路的實作工具及推理引擎	32
3.4 系統架構	34
3.5 客戶端裝置屬性描述字彙	37
3.6 通訊議程間語意的擷取	38
3.6.1 情境資訊的表示及傳遞	39
3.6.2 網頁內容語意的資訊擷取	41
3.7 推理引擎	42
3.7.1 改編規則	43
3.8 網頁內容改編元件	47
4 系統實作	49
4.1 代理伺服器	50
4.2 網頁內容擷取元件	52
4.3 語意擷取元件	53
4.4 推理引擎	57
4.5 網頁內容改編元件	62
4.5.1 改編演算法	63
4.5.2 分派器	65
4.6 執行結果與討論	68
4.6.1 HTML網頁	69
4.6.2 圖形	74
4.7 本章小結及相關研究比較	76
5 結論及發展方向	80
6 參考文獻	85

圖目錄
圖 1 1 Web架構中常見協定	3
圖 2 1 MoCA架構圖	10
圖 3 1 語意網路架構	26
圖 3 2 RDF/XML語意表示方式	31
圖 3 3 語意網的表示方式	31
圖 3 4 概念性的語意表示方式	31
圖 3 5 網頁內容調適代理伺服器系統架構及訊息傳遞方式	35
圖 3 6 CC/PP兩層式架構及相關字彙	38
圖 3 7 本架構推理引擎各元件	43
圖 4 1 代理伺服器內各元件間合作方式	50
圖 4 2 系統管理畫面	52
圖 4 3 處理圖形資料時所取得的圖形資料語意以及裝置屬性語意	58
圖 4 4 擷取表格內容演算法	64
圖 4 5 改編模組分派演算法	67
圖 4 6 測試網頁	68
圖 4 7 測試圖片	69
圖 4 8 改編系統對測試網頁產生於Palm之頁面	70
圖 4 9改編測試網頁系統產生於Symbian S80模擬器上之頁面	72
圖 4 10 改變測試圖片於Symbian S80調適後的圖片	75

 
表目錄
表4-1 系統元件與Java套件間的對應關係	49
表4-2 語意擷取元件所定義之介面	55
表4-3 語意擷取元件所取得的網頁內容屬性	55
表4-4 網頁原始內容及網頁註記後部分內容	57
表4-5 圖形檔改編規則(僅列出部分規則)	60
表4-6 HTML網頁改編規則	61
表4-7 支援圖形檔的改編模組	62
表4-8 支援HTML檔的改編模組	63
表4-9 處理HTML網頁時推理引擎所產生的改編參數(Palm)	71
表4-10 推理引擎於Symbian S80所產生的改編參數	73
表4-11 處理測試網頁時各元件執行時間	74
表4-12 處理圖形時推理引擎產生的改編參數	75
表4-13 處理圖形時各元件處理時間	76
表4-14 相關系統及研究的比較	78

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