臺灣博碩士論文加值系統

社群網路在近幾年來發展快速，網路使用者已經習慣由社群網路獲取資訊，從原來只限於親友的封閉社交圈，也慢慢的可以跟更多網友分享資訊。在部落格平台中，部落格作者通常會使用部落格平台所提供的分類來為文章設定類別，部落格讀者可以透過類別來找到其他相關的文章，但這種方式可能會因為部落格作者的錯誤或不了解類別的意思而指定錯誤的類別，造成使用者無法找到真正相關主題的文章。因此本研究試圖利用Linked Open Data(LOD)來為文章找出正確的類別。在本團隊過去的研究中，可以利用文章的查詢關鍵字來代表文章主題，因此我們延伸過去的研究成果，用查詢關鍵字來查詢DBpedia，整理每一篇文章的查詢結果可以得到其在DBpedia中的類別，並與人工分類做比較，驗證結果的正確率大於50%，代表結合LOD的資料足以找出文章的類別。

Due to the rapid development of social networks, net users are only share information with friends in the closed social networks, but also share information with everyone on the net. However, blogs, one of the main platforms for social networks, are still like isolated island. To overcome this problem, we developed a platform called Blog Connect. With the developed scheme, we attempted to automatically create links among blog posts on Blog Connect and DBpedia which is one of the largest open datasets.

中文摘要 i
英文摘要 ii
目錄 iii
圖目錄 iv
表目錄 v
1 緒論 6
1.1 研究背景 6
1.2 論文結構 7
2 文獻探討 8
2.1 部落格文章分群 8
2.2 Linked Data & DBpedia 9
2.3 建立連結 11
3 研究方法 15
3.1 資料前處理 15
3.2 查詢 16
3.3 計算權重 17
3.4 以語意關係來調整權重 19
3.5 輸出結果 20
4 實驗與分析 22
5 結論與未來研究方向 24
參考文獻 25
圖 1 Blog Connect蒐集關鍵字的流程 8
圖 2 infobox內容 10
圖 3 DBpedia Ontology 10
圖 4 實驗流程 15
圖 5 (a)ci12對應的子樹 (b)ci13對應的子樹 (c)結合後的子樹 17
圖 6 OTi1範例 17
圖 7 以表格5為例，代表文章xi的Tix 18
表格 1 DBpedia屬性範例 11
表格 2 DBpedia resource範例 11
表格 3 xi在資料庫中的範例 16
表格 4 Ki在資料庫中的範例 16
表格 5 Ki查詢結果範例 16
表格 6 不考慮語意的ontology tree範例 20
表格 7 考慮語意的ontology tree範例 20
表格 8 不同的θarticle過濾後剩餘的文章篇數 22
表格 9 不考慮語意關係的實驗結果 23
表格 10 考慮語意關係的實驗結果 23
中文摘要 i
英文摘要 ii
目錄 iii
圖目錄 iv
表目錄 v
1 緒論 6
1.1 研究背景 6
1.2 論文結構 7
2 文獻探討 8
2.1 部落格文章分群 8
2.2 Linked Data & DBpedia 9
2.3 建立連結 11
3 研究方法 15
3.1 資料前處理 15
3.2 查詢 16
3.3 計算權重 17
3.4 以語意關係來調整權重 19
3.5 輸出結果 20
4 實驗與分析 22
5 結論與未來研究方向 24
參考文獻 25
圖 1 Blog Connect蒐集關鍵字的流程 8
圖 2 infobox內容 10
圖 3 DBpedia Ontology 10
圖 4 實驗流程 15
圖 5 (a)ci12對應的子樹 (b)ci13對應的子樹 (c)結合後的子樹 17
圖 6 OTi1範例 17
圖 7 以表格5為例，代表文章xi的Tix 18
表格 1 DBpedia屬性範例 11
表格 2 DBpedia resource範例 11
表格 3 xi在資料庫中的範例 16
表格 4 Ki在資料庫中的範例 16
表格 5 Ki查詢結果範例 16
表格 6 不考慮語意的ontology tree範例 20
表格 7 考慮語意的ontology tree範例 20
表格 8 不同的θarticle過濾後剩餘的文章篇數 22
表格 9 不考慮語意關係的實驗結果 23
表格 10 考慮語意關係的實驗結果 23

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