| dc.contributor.advisor | 胡毓忠 | zh_TW |
| dc.contributor.advisor | Hu,Yuh-Jong | en_US |
| dc.contributor.author (Authors) | 余承遠 | zh_TW |
| dc.contributor.author (Authors) | Yu,Cheng-Yuan | en_US |
| dc.creator (作者) | 余承遠 | zh_TW |
| dc.creator (作者) | Yu,Cheng-Yuan | en_US |
| dc.date (日期) | 2006 | en_US |
| dc.date.accessioned | 17-Sep-2009 13:55:40 (UTC+8) | - |
| dc.date.available | 17-Sep-2009 13:55:40 (UTC+8) | - |
| dc.date.issued (上傳時間) | 17-Sep-2009 13:55:40 (UTC+8) | - |
| dc.identifier (Other Identifiers) | G0093753002 | en_US |
| dc.identifier.uri (URI) | https://nccur.lib.nccu.edu.tw/handle/140.119/32646 | - |
| dc.description (描述) | 碩士 | zh_TW |
| dc.description (描述) | 國立政治大學 | zh_TW |
| dc.description (描述) | 資訊科學學系 | zh_TW |
| dc.description (描述) | 93753002 | zh_TW |
| dc.description (描述) | 95 | zh_TW |
| dc.description.abstract (摘要) | Web 2.0的提出，主要的概念是以Web為平台，以「個人」為中心，透過群體智慧的方式來共享與產生知識，例如維基百科、部落格等。部落格提供了個人自由創作與發表文章空間，主要以RSS、Trackback為共有標準，服務提供者可另外加上自訂功能。然而部落格每天所產生的文章量相當龐大，我們是否有辦法在這些文章中，找出符合使用者想看的文章。本研究期望建構一個部落格入口網站，分析目前部落格使用的特徵，比較與目前Web環境差異；引入語意網技術，針對Metadata處理資訊，設計本體論(Ontology)來描述人、文章與標籤之間的關係並建立簡單分類；導入大眾既有經驗與人脈網路建立，觀察社會網路所能提供的貢獻；實作上將透過特徵分析來設計Crawler，自動抓取並解析文章，並建置入口網站，進行資料的分析與驗證，探討加入語意網與社會網路分析的結合所能帶來的效益。 | zh_TW |
| dc.description.abstract (摘要) | The Web 2.0 is based on the main concept "individuals" as the center, through the collaborative wisdom to share and to generate knowledge on the Web, such as the Wikipedia, Blog, etc. Blog provides a space for the free creativity and posting articles from individuals. Based on RSS and Trackback service providers can set an additional function. However, the daily amount of articles issued from the Blog is enormous. How can we provide methods for users to find their interesting articles? This study hopes to build the Blog portal and analysis of the current Blog features compared with the web environment. We use semantic web technology and focus on metadata processing. The ontology describes the relationship among persons, articles, tags and a simple categorization. Folks experience and relationship are established and observed with the benefits from social network analysis. In this study, we implement a crawler, and automatically grab and analysis articles. With constructing the portal, we extract information and discuss the benefits of using combination semantic web and social network analysis | en_US |
| dc.description.tableofcontents | 第一章 導論 11.1 研究背景 11.2 研究目的 21.3 各章節概述 3第二章 相關研究 42.1 部落格介紹與相關研究 42.2 語意部落格 62.3 分類與標籤系統 102.4 部落格入口網站 122.4.1入口網站設計 122.4.2部落格入口網站發展現況 13第三章 語意部落格入口網站設計 153.1 來源格式分析 163.1.1 網頁資料交換和匯集標記（RSS） 163.1.2 人際關係標記(FOAF) 183.1.3 超本文標記語言(HTML) 193.2 部落格中的社會網路 203.2.1 社會網路指標 203.2.2 人與人社群關係 233.2.3 文章與文章社群關係 243.3 本體論設計 243.3.1 部落格領域的本體論 243.3.2 文章主題的本體論 273.4 自動語意標記 293.5 查詢與展示 31第四章 語意部落格架構與實作 334.1 資料蒐集 334.2 系統架構 344.3 搜尋系統實做 354.3.1 網頁抓取設計(Crawler Design) 354.3.2 儲存媒介設計(Repository Design) 364.4 主題本體論設計 374.4.1 上層頻道與標籤關係產生 374.4.2 標籤與標籤關係產生 40第五章 社會網路分析 425.1 全體使用者分析 425.2 群體使用者分析 485.3 文章的社會網路分析 505.4 社會網路分析與入口網站 51第六章 語意部落格入口網站呈現 536.1 基本功能查詢 536.1.1 首頁資訊匯集 536.1.2 查詢標籤相關性 556.1.3 分類概念 + 關鍵字查詢 566.2結合社會網路與串聯機制 59第七章 結論與未來展望 637.1 結論 637.2 未來展望 64參考文獻 65 | zh_TW |
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| dc.format.mimetype | application/pdf | - |
| dc.language.iso | en_US | - |
| dc.source.uri (資料來源) | http://thesis.lib.nccu.edu.tw/record/#G0093753002 | en_US |
| dc.subject (關鍵詞) | 語意網 | zh_TW |
| dc.subject (關鍵詞) | 社會網路分析 | zh_TW |
| dc.subject (關鍵詞) | 本體論 | zh_TW |
| dc.subject (關鍵詞) | 入口網站 | zh_TW |
| dc.subject (關鍵詞) | 部落格 | zh_TW |
| dc.subject (關鍵詞) | Semantic Web | en_US |
| dc.subject (關鍵詞) | Social Network Analysis | en_US |
| dc.subject (關鍵詞) | Ontology | en_US |
| dc.subject (關鍵詞) | Portal | en_US |
| dc.subject (關鍵詞) | Blog | en_US |
| dc.subject (關鍵詞) | Web 2.0 | en_US |
| dc.title (題名) | 建構以語意社會網路為主的部落格入口網站 | zh_TW |
| dc.title (題名) | Building Semantic Social Network-Based Blog Portal | en_US |
| dc.type (資料類型) | thesis | en |
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