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題名 古籍數位人文研究平台之史料人物關係圖工具發展與應用-以明代文集之人物為例
Development and Application of Ancient Books Digital Humanities Research Platform with Characters’ Relationship Map - A Case Study of the Characters in the Ming Dynasty Ancient Books作者 張鐘
Chang, Chung貢獻者 陳志銘
Chen, Chin-Ming
張鐘
Chang, Chung關鍵詞 數位人文
社會網絡分析
人機互動
文本探勘
資訊視覺化
Digital humanities
Social network analysis
Human–computer interaction
Text mining
Data visualization日期 2018 上傳時間 6-Aug-2018 18:11:13 (UTC+8) 摘要 本研究旨在開發支援數位人文研究之「古籍數位人文研究平台之史料人物關係圖」，能自動識別文本中的人名，同時提供易上手的即時互動介面，透過人機互動方式協助人文學者更有效率且正確的建立擬分析文本之人物社會關係，以探索複雜的人物社會網絡關係，找到有用的研究發現。本研究以實驗研究法比較有無使用本研究發展之「史料人物關係圖系統」在支援人文學者解讀文本中的人物與人物關係成效，以及科技接受度是否具有顯著差異，並輔以半結構式深度訪談了解人文學者對於本研究發展之「史料人物關係圖」的看法與感受，也使用滯後序列分析析受測者使用「史料人物關係圖」解讀人物與人物關係的行為歷程，以及解讀人物與人物成效及關係，與受測者使用「史料人物關係圖」系統的行為歷程之間是否具有顯著關聯性。實驗結果發現，採用本研究發展之史料人物關係圖系統，在解讀人物與人物關係成效上高於使用無史料人物關係圖的系統，但未達顯著差異；採用史料人物關係圖系統的技接受度顯著高於無史料人物關係圖的系統。而相關分析部分，使用「史料人物關係圖」系統解讀文本中的人物成效與解讀文本中的人物關係成效之間達顯著正相關，但與使用者行為歷程之間無顯著關聯性。由訪談結果歸納得知，受訪者對系統介面的整合與操作的流暢度給予正面的評價；史料人物關係圖部分，多數受訪者認為史料人物關係圖能方便他們了解整體文本中的人物脈絡，但人名辨識的準確性仍有待改善。未來將利用機器學習方法，建立明代文集人名的實體命名辨識模型，以及提供社會網絡相關測度，讓系統更加完善，提高輔助人文學者解讀人物與人物關係的效益。
This research aims to develop the Books Digital Humanities Research Platform with Characters’ Relationship Map, which is able to identify the characters from the ancient books automatically. It also provides the user-friendly interface and helps humanities scholars to interpret characters’ relationship more efficiently and accurately by way of Human-Computer Interaction. Humanities scholars can discover the characters’ complex social network through the Characters’ Relationship Map to obtain useful findings.With experimental method, the research compared the outcomes with and without the Characters’ Relationship Map assisting humanities scholars to interpret the character and the characters’ relationship in the ancient books, and if there were significant differences in technology acceptance. Via semi-structured in-depth interviews, the research acquired humanities scholars’ opinions and perception about the Characters’ Relationship Map. The research utilized lag sequence analysis to analyze users’ behavior processes and achievements of using Characters’ Relationship Map as well as investigating the correlations between users’ behavior processes and achievements.The experimental results show that the system with the Characters’ Relationship Map is higher than the system without the Characters’ Relationship Map in both the interpretation of the character and the interpretation of the characters’ relationship, but not significant. The technology acceptance analysis reveals that the system with the Characters’ Relationship Map has significantly better technology acceptance than the system without the Characters’ Relationship Map. There is significant correlation between the achievements of interpreting the character and the characters’ relationship, but no significant correlation among users’ behavior processes. According to the interviews, respondents gave positive comments on the integration and operational fluency of the system interface. Many respondents believed that the Characters’ Relationship Map could help them better understand the context of the characters in the overall text, but the accuracy of the identification of names still needs to be improved.In the future, we will use machine learning to establish name entity model for Ming Dynasty and also provide social network related measures to make the system more perfect so as to raise the benefits of assisting humanities scholars to interpret characters and characters’ relationship.參考文獻 DocuSky。DocuSky數位人文學術研究平台。上網日期：2017年12月26日。檢自：http://docusky.digital.ntu.edu.tw/DocuSky/ds-01.home.html中國歷代人物傳記資料庫。CBDB querying and reporting system -online。上 網日：106年12月20日，檢自：http://db1.ihp.sinica.edu.tw/cbdb/help/systemintro.html台灣歷史數位圖書館 (THDL)。上網日期：2017年12月26日。檢自：http://thdl.ntu.edu.tw/index.html吳峻興、丁一賢（2011）。運用社會網絡分析法與網路探勘技術以發掘部落格之仇恨團體。第十四屆模糊理論及應用研討會。杜協昌 (2016)。DocuSky：個人資料庫的建構與分析平台。第七屆數位典藏與數位人文國際研討會，台北。杜協昌 (2016)。DocuSky：個人資料庫的建構與分析平台。第七屆數位典藏與數位人文國際研討會，台北。第八屆數位典藏與數位人文國際研討會，台北。金觀濤、邱偉雲、梁穎誼、陳柏聿、沈錳坤、劉青峰 (2016)。觀念群變化的數位人文研究--以《新青年》為例。數位人文：在過去、現在和未來之間。翁稷安 (2016)。從「機構導向資料庫」到「個人導向資料庫」：數位人文下一階段的可能發展。第七屆數位典藏與數位人文國際研討會，台北。項潔、涂豐恩（2011）。導論—什麼是數位人文。從保存到創造: 開啟數位人文研究，9–28。項潔、陳詩沛、杜協昌（2009）。台灣古契約文書全文資料庫的建置。第三屆台灣古文書與歷史研究學術研討會 (台中市: 逢甲大學, 民國 98 年 3 月)。黃于鳴（2009）。臺灣古地契關係自動重建之研究。臺灣大學資訊工程學研究所碩士論文。黃家富（2017）。小說對話標註系統研究與實作。臺灣大學資訊工程學研究所碩士論文。葉韋君 (2017)。媒體、性別與動員：《婦女共鳴》社會網絡分析（1929-1944）。第八屆數位典藏與數位人文國際研討會，台北。廖儁凡（2010）。中國古典白話小說中的社會網路關係: 以《 儒林外史》 為例臺灣大學資訊網路與多媒體研究所碩士論文。趙薇(2016)。「社會網路分析」在現代漢語歷史小說研究中的應用初探——以李劼人的《大波》三部曲為例。數位人文：在過去、現在和未來之間。劉吉軒、柯雲娥、張惠真、譚修雯、黃瑞期、甯格致 (2012)。以文本分析呈現海外史料政治思想輪廓。數位人文要義: 尋找類型與軌跡。頁 83-114。劉鎮宇 (2017)。支援數位人文研究之文本自動標註系統發展與使用評估研究。圖書資訊與檔案學研究所碩士論文。謝博宇 (2016)。以DocuSky為核心的工具開發與建置。第七屆數位典藏與數位人文國際研討會，台北。羅鳳珠 (2001)。臺灣地區中國古籍數位化的現況與展望。書目季刊，35（1），23–34。陈 蕾、胡亦旻、艾苇、胡俊峰（2015）。《红楼梦》中社会权势关系的提取及网络构建。中文信息学报，29（5），185–194。英文部分Adams, D. 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國立政治大學
圖書資訊與檔案學研究所
105155004資料來源 http://thesis.lib.nccu.edu.tw/record/#G0105155004 資料類型 thesis dc.contributor.advisor 陳志銘 zh_TW dc.contributor.advisor Chen, Chin-Ming en_US dc.contributor.author (Authors) 張鐘 zh_TW dc.contributor.author (Authors) Chang, Chung en_US dc.creator (作者) 張鐘 zh_TW dc.creator (作者) Chang, Chung en_US dc.date (日期) 2018 en_US dc.date.accessioned 6-Aug-2018 18:11:13 (UTC+8) - dc.date.available 6-Aug-2018 18:11:13 (UTC+8) - dc.date.issued (上傳時間) 6-Aug-2018 18:11:13 (UTC+8) - dc.identifier (Other Identifiers) G0105155004 en_US dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/119210 - dc.description (描述) 碩士 zh_TW dc.description (描述) 國立政治大學 zh_TW dc.description (描述) 圖書資訊與檔案學研究所 zh_TW dc.description (描述) 105155004 zh_TW dc.description.abstract (摘要) 本研究旨在開發支援數位人文研究之「古籍數位人文研究平台之史料人物關係圖」，能自動識別文本中的人名，同時提供易上手的即時互動介面，透過人機互動方式協助人文學者更有效率且正確的建立擬分析文本之人物社會關係，以探索複雜的人物社會網絡關係，找到有用的研究發現。本研究以實驗研究法比較有無使用本研究發展之「史料人物關係圖系統」在支援人文學者解讀文本中的人物與人物關係成效，以及科技接受度是否具有顯著差異，並輔以半結構式深度訪談了解人文學者對於本研究發展之「史料人物關係圖」的看法與感受，也使用滯後序列分析析受測者使用「史料人物關係圖」解讀人物與人物關係的行為歷程，以及解讀人物與人物成效及關係，與受測者使用「史料人物關係圖」系統的行為歷程之間是否具有顯著關聯性。實驗結果發現，採用本研究發展之史料人物關係圖系統，在解讀人物與人物關係成效上高於使用無史料人物關係圖的系統，但未達顯著差異；採用史料人物關係圖系統的技接受度顯著高於無史料人物關係圖的系統。而相關分析部分，使用「史料人物關係圖」系統解讀文本中的人物成效與解讀文本中的人物關係成效之間達顯著正相關，但與使用者行為歷程之間無顯著關聯性。由訪談結果歸納得知，受訪者對系統介面的整合與操作的流暢度給予正面的評價；史料人物關係圖部分，多數受訪者認為史料人物關係圖能方便他們了解整體文本中的人物脈絡，但人名辨識的準確性仍有待改善。未來將利用機器學習方法，建立明代文集人名的實體命名辨識模型，以及提供社會網絡相關測度，讓系統更加完善，提高輔助人文學者解讀人物與人物關係的效益。 zh_TW dc.description.abstract (摘要) This research aims to develop the Books Digital Humanities Research Platform with Characters’ Relationship Map, which is able to identify the characters from the ancient books automatically. It also provides the user-friendly interface and helps humanities scholars to interpret characters’ relationship more efficiently and accurately by way of Human-Computer Interaction. Humanities scholars can discover the characters’ complex social network through the Characters’ Relationship Map to obtain useful findings.With experimental method, the research compared the outcomes with and without the Characters’ Relationship Map assisting humanities scholars to interpret the character and the characters’ relationship in the ancient books, and if there were significant differences in technology acceptance. Via semi-structured in-depth interviews, the research acquired humanities scholars’ opinions and perception about the Characters’ Relationship Map. The research utilized lag sequence analysis to analyze users’ behavior processes and achievements of using Characters’ Relationship Map as well as investigating the correlations between users’ behavior processes and achievements.The experimental results show that the system with the Characters’ Relationship Map is higher than the system without the Characters’ Relationship Map in both the interpretation of the character and the interpretation of the characters’ relationship, but not significant. The technology acceptance analysis reveals that the system with the Characters’ Relationship Map has significantly better technology acceptance than the system without the Characters’ Relationship Map. There is significant correlation between the achievements of interpreting the character and the characters’ relationship, but no significant correlation among users’ behavior processes. According to the interviews, respondents gave positive comments on the integration and operational fluency of the system interface. Many respondents believed that the Characters’ Relationship Map could help them better understand the context of the characters in the overall text, but the accuracy of the identification of names still needs to be improved.In the future, we will use machine learning to establish name entity model for Ming Dynasty and also provide social network related measures to make the system more perfect so as to raise the benefits of assisting humanities scholars to interpret characters and characters’ relationship. en_US dc.description.tableofcontents 第一章 緒論 1第一節 研究背景與動機 1第二節 研究目的 4第三節 研究問題 5第四節 研究範圍與研究限制 6第五節 名詞解釋 7第二章 文獻探討 9第一節 數位人文 9第二節 社會網絡分析 15第三節 系統評估理論 19第三章 系統設計 23第一節 系統架構 23第二節 系統元件 27第三節 系統開發工具 31第四節 系統介面與功能 33第四章 研究設計與實施 39第一節 研究方法 39第二節 研究對象 40第三節 研究工具 40第四節 研究架構 42第五節 實驗流程 45第六節 資料分析 49第七節 研究實施步驟 51第五章 實驗結果與分析 53第一節 研究對象基本資料 54第二節 有無史料人物關係圖系統解讀文本人物關係之成效比較分析 55第三節 有無史料人物關係圖系統之科技接受度差異比較分析 57第四節 史料人物關係圖系統使用行為分析 62第五節 訪談分析 70第六章 結論與建議 87第一節 結論 87第二節 系統改善建議 92第三節 未來研究方向 94參考文獻 97中文部分 97英文部分 99附錄一 第一階段文本人物關係評估表 104附錄二 第二階段文本人物關係評估表 105附錄三 有史料人物關係圖科技接受度問卷 106附錄四 無史料人物關係圖科技接受度問卷 107附錄五 訪談大綱 108 zh_TW dc.format.extent 2384910 bytes - dc.format.mimetype application/pdf - dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0105155004 en_US dc.subject (關鍵詞) 數位人文 zh_TW dc.subject (關鍵詞) 社會網絡分析 zh_TW dc.subject (關鍵詞) 人機互動 zh_TW dc.subject (關鍵詞) 文本探勘 zh_TW dc.subject (關鍵詞) 資訊視覺化 zh_TW dc.subject (關鍵詞) Digital humanities en_US dc.subject (關鍵詞) Social network analysis en_US dc.subject (關鍵詞) Human–computer interaction en_US dc.subject (關鍵詞) Text mining en_US dc.subject (關鍵詞) Data visualization en_US dc.title (題名) 古籍數位人文研究平台之史料人物關係圖工具發展與應用-以明代文集之人物為例 zh_TW dc.title (題名) Development and Application of Ancient Books Digital Humanities Research Platform with Characters’ Relationship Map - A Case Study of the Characters in the Ming Dynasty Ancient Books en_US dc.type (資料類型) thesis en_US dc.relation.reference (參考文獻) DocuSky。DocuSky數位人文學術研究平台。上網日期：2017年12月26日。檢自：http://docusky.digital.ntu.edu.tw/DocuSky/ds-01.home.html中國歷代人物傳記資料庫。CBDB querying and reporting system -online。上 網日：106年12月20日，檢自：http://db1.ihp.sinica.edu.tw/cbdb/help/systemintro.html台灣歷史數位圖書館 (THDL)。上網日期：2017年12月26日。檢自：http://thdl.ntu.edu.tw/index.html吳峻興、丁一賢（2011）。運用社會網絡分析法與網路探勘技術以發掘部落格之仇恨團體。第十四屆模糊理論及應用研討會。杜協昌 (2016)。DocuSky：個人資料庫的建構與分析平台。第七屆數位典藏與數位人文國際研討會，台北。杜協昌 (2016)。DocuSky：個人資料庫的建構與分析平台。第七屆數位典藏與數位人文國際研討會，台北。第八屆數位典藏與數位人文國際研討會，台北。金觀濤、邱偉雲、梁穎誼、陳柏聿、沈錳坤、劉青峰 (2016)。觀念群變化的數位人文研究--以《新青年》為例。數位人文：在過去、現在和未來之間。翁稷安 (2016)。從「機構導向資料庫」到「個人導向資料庫」：數位人文下一階段的可能發展。第七屆數位典藏與數位人文國際研討會，台北。項潔、涂豐恩（2011）。導論—什麼是數位人文。從保存到創造: 開啟數位人文研究，9–28。項潔、陳詩沛、杜協昌（2009）。台灣古契約文書全文資料庫的建置。第三屆台灣古文書與歷史研究學術研討會 (台中市: 逢甲大學, 民國 98 年 3 月)。黃于鳴（2009）。臺灣古地契關係自動重建之研究。臺灣大學資訊工程學研究所碩士論文。黃家富（2017）。小說對話標註系統研究與實作。臺灣大學資訊工程學研究所碩士論文。葉韋君 (2017)。媒體、性別與動員：《婦女共鳴》社會網絡分析（1929-1944）。第八屆數位典藏與數位人文國際研討會，台北。廖儁凡（2010）。中國古典白話小說中的社會網路關係: 以《 儒林外史》 為例臺灣大學資訊網路與多媒體研究所碩士論文。趙薇(2016)。「社會網路分析」在現代漢語歷史小說研究中的應用初探——以李劼人的《大波》三部曲為例。數位人文：在過去、現在和未來之間。劉吉軒、柯雲娥、張惠真、譚修雯、黃瑞期、甯格致 (2012)。以文本分析呈現海外史料政治思想輪廓。數位人文要義: 尋找類型與軌跡。頁 83-114。劉鎮宇 (2017)。支援數位人文研究之文本自動標註系統發展與使用評估研究。圖書資訊與檔案學研究所碩士論文。謝博宇 (2016)。以DocuSky為核心的工具開發與建置。第七屆數位典藏與數位人文國際研討會，台北。羅鳳珠 (2001)。臺灣地區中國古籍數位化的現況與展望。書目季刊，35（1），23–34。陈 蕾、胡亦旻、艾苇、胡俊峰（2015）。《红楼梦》中社会权势关系的提取及网络构建。中文信息学报，29（5），185–194。英文部分Adams, D. 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