知識管理時代的來臨，讓各個組織無不開始推行知識管理活動，學術研究組織亦不例外，期望藉由知識管理活動讓研究人員能夠快速瞭解各研究主題之間的關聯程度。現今雖有許多針對學術論文進行的知識管理活動，但這些活動大多是以人力為學術論文進行編碼與歸類；相較而言，目前尚缺乏學術界各項研究主題之間關聯程度的衡量指標。
本研究藉由分析論文的資訊，如關鍵字、摘要等內容，提出衡量研究主題關聯程度之指標，分別為關聯強度與關聯相似度，用以衡量研究主題之間的直接關聯程度與間接關聯程度；並實際建構系統，選取資訊相關領域之博碩士學位論文作為分析對象，並以不同的參數，分析研究主題的趨勢及走向。此外，由於國內對於論文關鍵字的使用相當分歧，因此本研究亦建立了同義關鍵字與相似關鍵字資料庫，合併意義相同或相似的論文關鍵字。
本研究分析的結果包括了：

With the coming of knowledge management era, academic institutions also begin to engage in knowledge management (KM) activities, hoping that researchers can understand the relationship between research topics. However, most of the KM activities focusing on academic papers need research’s effort to code and classify paper’s content, and there is still no measurement of relationship between research topics from prior researches. Therefore, this thesis will propose a methodology to measure the relationship between research topics and grab the data of National Central Library from internet to construct a knowledge relationship system.
This system will analyze both dissertation’s and thesis’ content, such as keywords, abstracts, etc., and calculate two measurements that are relation strength and relation similarity to assess the direct and indirect relationship between two research topics. Moreover, this thesis found a phenomenon that there is high diversity of Chinese keyword’s usage and the Chinese translation of English keyword. To overcome this incident, the database for Chinese keywords is built. This database will excerpt the mapping of Chinese keywords usage and its translation from the abstract of thesis. Finally, the trend of research topics in information-related domain using different aspects, such as different years, different schools and different departments are analyzed.
The result of analysis includes:

第1章 緒論 1
1.1 研究背景與動機 1
1.2 研究目的與議題 3
1.3 研究範圍 4
1.4 論文架構 4
第2章 文獻探討 6
2.1 資料挖掘 6
2.1.1 資料挖掘的定義與步驟 7
2.1.2 關聯法則之探勘 8
2.2 資訊推薦技術 11
2.2.1 以內容為基礎之推薦方法 12
2.2.2 合作式推薦方法 13
2.3 知識管理 14
2.3.1 學術界的知識管理 16
第3章 研究架構與方法 18
3.1 研究架構 18
3.2 訂定研究主題關聯衡量指標 19
3.2.1 學術論文的格式與本研究之基本假設 19
3.2.2 關聯強度 21
3.2.3 關聯相似度 23
3.3 小結 24
第4章 系統建置 26
4.1 論文資料擷取階段 28
4.2 關鍵字處理階段 30
4.2.1 同義關鍵字 32
4.2.2 相似關鍵字 34
4.2.2.1 群組內關鍵字過多 36
4.2.2.2 一個關鍵字分屬兩個群組 37
4.2.3 合併同義關鍵字與相似關鍵字 39
4.3 衡量指標計算階段 40
4.3.1 根據每篇論文的關鍵字兩兩建立關鍵字配對 40
4.3.2 計算關鍵字配對在論文摘要中的平均距離 42
4.4 結果呈現階段 43
4.4.1 輸入查詢條件 43
4.4.1.1 單一研究主題查詢 43
4.4.1.2 整體性研究主題查詢 44
4.4.2 計算關聯強度與關聯相似度 45
4.4.3 結果輸出與呈現 45
4.4.3.1 單一研究主題查詢結果 45
4.4.3.2 整體性研究主題查詢結果 49
4.5 小結 51
第5章 結果評估與分析 52
5.1 關聯強度結果評估 52
5.1.1 將論文與其關鍵字之資訊轉換為相似於交易記錄之格式 53
5.1.2 透過資料挖掘軟體，尋找其中是否有規則存在 53
5.1.3 分析執行結果，並將執行結果與關聯強度進行比較 54
5.2 查詢單一研究主題之執行結果分析 55
5.3 查詢整體性研究主題之執行結果分析 61
5.3.1 根據不同年份進行查詢 62
5.3.2 根據不同學校進行查詢 66
5.3.3 根據不同系所進行查詢 68
5.3.4 根據相同學校不同學系進行查詢 71
5.4 實務上之應用 72
5.5 小結 72
第6章 結論 74
6.1 研究成果 74
6.2 未來研究方向 75
中文參考文獻 77
英文參考文獻 77

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