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全站搜尋

contextual mark

文本標記

paragraph compare

相近段落比對

authority static

權威詞統計

Data Visualization

資訊視覺化

關於數位人文研究平台

中央研究院數位文化中心根據人文研究的需求,發展協助學者提升研究質量的數位化工具與平台。期望結合研究者、研究資料與研究工具之綜效,擴大研究的規模及縮短研究的時間,以提升人文研究的質量。 數位人文研究平台提供一個完整的研究環境,讓研究者可以透過雲端服務取得研究中所需的資料與工具。研究者可上傳文本與權威詞,也可使用平台中其他開放的文本與權威詞來進行研究。權威詞具有手動與自動標記文本的功能,並可以使用階層方式分類權威詞。標記文本完成後,可進行權威詞與N字詞詞頻統計、共現詞關聯分析,再以統計圖表、文字雲、社會網絡分析圖、地圖等資料視覺化方式呈現。此外,平台提供相似內容比對、正規表示式查詢、多詞間距查詢與統計篩選功能,讓研究者可以容易地進行考據。

  • 資料彙整:彙整與介接中研院史語所漢籍的文本(約2.6億字)、日本京都大學的漢籍文本Kanripo (約13億字)、美國哈佛大學的中國哲學書電子化計劃Ctext (約51億字)、CBETA中華電子佛典協會 (約0.6億字)與地名、朝代名、人名等開放權威檔,提供研究者基礎的研究素材。
  • 共同編輯:提供多人可共同編輯文本、權威檔、標記內容及群組管理功能,讓研究者可依不同的研究主題,形成不同的研究社群。
  • 內容搜尋:提供文本結構與內容瀏覽、布林邏輯查詢、多詞間距查詢與查詢結果統計篩選、相似文本比對功能,讓研究者可以快速找出關鍵詞的分布及過濾查詢結果。
  • 資料分析:提供跨文本的權威詞、N字詞詞頻、詞頻變化量統計及共現詞關聯分析,讓研究者可以從大量資料中快速找資料中的脈絡關係。
  • 視覺化:提供圓餅圖、折線圖、文字雲、社會網絡分析圖、地理資訊系統等工具,以圖形方式呈現文本分析之結果,讓研究者可以更直覺地俯視資料中隱含的現象。
  • 數位人文研究平台主要功能:

    1. 上傳個人的文本與權威檔,亦可匯入其他系統的資料 (漢籍電子文獻資料庫、CText 中國哲學書電子化計劃、Kanripo 漢籍、CBETA)
    2. 加入平台中其他人開放的資料,或將自己的資料開放分享
    3. 統計與分析結果下載
    4. 彈性與複雜的查詢 (正規表示式查詢、多詞間距查詢等)
    5. 比對相似文本
    6. 詞頻統計 (權威詞、N Gram)
    7. 關聯詞共現統計
    8. 資料視覺化 (直方圖、網絡圖等)
    9. 時空整合呈現 (GIS)


    此外,我們也持續發展數位人文研究的相關工具與技術,包含鏈結開放資料(Linked Open Data, LOD)、國際圖像互操作架構 (International Image Interoperability Framework, IIIF)、中文古籍圖像文字辨識技術 (Optical Character Recognition, OCR)、命名實體識別技術(Named Entity Recognition),待技術與工具發展成熟後,我們將開放工具與服務供研究者使用。

    最新消息

    2020.08.17 使用手冊 中研院數位人文研究平台操作說明 2020.07.07 平台開放資源 平台開放資源 2019.12.03 會前工作坊使用手冊 第十屆數位典藏與數位人文國際研討會:中央研究院數位人文研究平臺 2019.05.19 工作坊使用手冊 數位新時代下的高效率醫學典籍研究方法:中研院數位人文研究平台工作坊 2019.04.03 使用手冊 平台英文介紹 2019.03.19 使用手冊 提供平台使用手冊 2018.12.18 測試資料 第九屆數位典藏與數位人文國際研討會:中研院數位人文研究平台工作坊測試資料 2018.12.18 講座公告 第九屆數位典藏與數位人文國際研討會:中研院數位人文研究平台工作坊 2018.10.27 上線公告 數位人文研究平台正式上線! 2018.10.05 講座公告 醫學史研究的新工具:中研院「數位人文研究平台」簡介 2018.09.26 上線公告 中央研究院「數位典藏與數位人文學研究計畫」107年度成果專刊 2018.06.21 活動新聞 哈佛大學首辦中國歷史研究網絡基礎設施國際研討會「數位人文研究平台」首度公開亮相 2018.06.01 講座公告 如何在詞語的密林中分類萬物?——文本標註與關鍵字庫之管理與應用的數位人文學工作坊
    contextual mark

    Text tagging

    paragraph compare

    Similar passage comparison

    authority static

    Authority term statistics

    Data Visualization

    Data visualization

    About the Digital Humanities Research Platform

    The Academia Sinica Digital Humanities Research Platform develops digital tools to meet the demands of humanities research, assisting scholars in upgrading the quality of their research. We hope to integrate researchers, research data, and research tools to broaden the scope of research and cut down research time. The Platform provides a comprehensive research environment with cloud computing services, offering all the data and tools scholars require. Researchers can upload texts and authority files, or use others’ open texts and authority files available on the platform. Authority terms possess both manual and automatic text tagging functions, and can be hierarchically categorized. Once text tagging is complete, you can calculate authority term and N-gram statistics, or conduct term co-occurrence analysis, and then present results through data visualization methods such as statistical charts, word clouds, social analysis graphs, and maps. Furthermore, the platform provides functionality for similar-passage comparison, Boolean search, word proximity search, and statistical filtering, enabling researchers to easily carry out textual analysis.

  • Data Archives:Interface with the extensive text archives of the Academia Sinica Institute of History and Philology’s Scripta Sinica Database (about 260 million words), Kyoto University’s Kanseki Repository (about 1.3 billion words), and Harvard University’s Chinese Text Project (about 5.1 billion words), and Chinese Buddhist Electronic Text Association (CBETA) (about 0.6 billion words), along with open authority files for names of place, dynasties, and people – the fundamental sources required for your research.
  • Shared Editing:Groups of users can jointly edit texts, authority files, and tagged content, enabling researchers to assemble different communities to tackle different research subjects.
  • Content Search: The structure and content of texts are open for browsing, Boolean search, multiple-term proximity search, and statistical filtering of search results, enabling researchers to quickly find keyword distributions and refine results.
  • Data Analysis: Analysis of authority terms, N-gram statistics, word frequency variation, and term co-occurrence across texts enables researchers to quickly find underlying relationships within big data. 。
  • VisualizationPie charts, line charts, word clouds, social network analysis graphs, and geographic information system tools present the results of textual analysis in graphic form, enabling researchers to more intuitively survey phenomena concealed within the data.
  • Main Functions of the Digital Humanities Research Platform:

    1. Upload texts and authority files, or import data from other systems (Scripta Sinica Database, CText, Kanripo, CBETA)
    2. Add open data from other platform users, or share your own data
    3. Download statistics and analysis results
    4. Flexible, customizable search (Boolean, multiple-term proximity search, etc.)
    5. Text similarity comparison
    6. Word frequency statistics (authority terms, N-grams)
    7. Word co-occurrence statistics
    8. Data visualization (histograms, network graphs, etc.)
    9. Spatiotemporal display integration (GIS)

    In addition, we also continue to develop the Digital Humanities Research Platform’s related tools and technologies, including: Linked Open Data (LOD), the International Image Interoperability Framework (IIIF), Optical Character Recognition (OCR) for Chinese characters, and Named Entity Recognition. Once these technologies and tools are ready, we will open their services for use by researchers.

    Latest News

    2020.08.17 User Manual Operating Instructions for the Digital Humanities Research Platform of Academia Sinica 2020.07.07 Platform Texts Platform Texts 2019.12.03 Pre-conference Workshop User Manual 10th International Conference of Digital Archives and Digital Humanities: The Academia Sinica Digital Humanities Research Platform 2019.05.19 Workshop User Manual High-efficiency Research Methods for Ancient Medical Records in the New Digital Era: The Academia Sinica Digital Humanities Research Platform Workshop 2019.04.03 User Manual English Introduction to the Platform 2019.03.19 User Manual A Manual for Users of the Platform 2018.12.18 Data Testing The 9th International Conference of Digital Archives and Digital Humanities: The Academia Sinica Digital Humanities Research Platform Data Testing Workshop 2018.12.18 Talk The 9th International Conference of Digital Archives and Digital Humanities: The Academia Sinica Digital Humanities Research Platform Workshop 2018.10.27 Website The Digital Humanities Research Platform officially launches! 2018.10.05 Talk New Tools for the History of Medicine: An Introduction to the Academia Sinica’s “Digital Humanities Research Platform” 2018.09.26 Website The Academia Sinica Digital Archives and Digital Humanities Research Project 2018 Annual Report 2018.06.21 Event The Digital Humanities Research Platform makes its first public appearance at the International Conference on the Cyberinfrastructure for Historical China Studies, organized by Harvard University. 2018.06.01 Talk How Do We Classify Animals in the Language Jungle? —— A Digital Humanities Workshop on Management and Application of Text Annotation and Keyword Databases