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Revolutionary Entities: Unearthing Irish Rising of 1916 through Data and Personalized Exploration

Explore the 1641 Rebellion and 1916 Rising, supporting historians with personalized knowledge techniques. Discover the power of data in deep source examination. See examples of noisy humanities data and entity extraction from witness statements. Join Prof. Owen Conlan at Trinity College Dublin on this revolutionary journey.

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Revolutionary Entities: Unearthing Irish Rising of 1916 through Data and Personalized Exploration

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  1. Revolutionary Entities:Turning Data into Knowledge to Drive Personalized Exploration ofThe Irish Rising of 1916 Prof Owen Conlan CNGL @ Trinity College Dublin

  2. Three revolutions… • 1641 Rebellion • 1916 Rising • Supporting historians in deeply examining sources using knowledge and personalization techniques

  3. Noisy Humanities Data

  4. 1641 Deposition Example “that one whoe was a Scochman pinched with extreame hunger privately in the night tyme opened the grave of a man that was buried within the liberties of the Castle and fed vpon the dead and buried mans flesh Some of the souldjers of the Castle partly espyring him tooke ayme & thincking him an enemy shott him through soe that he dyed, And that [Marginalia:symbol] Scochmans wife afterwards hanged to death her owne child and eate her flesh for want of meate” MS 814, County Offaly (King’s County) Deposition of Joseph Joice, who gave details of cannibalism that occurred in that county.

  5. 1641 Depositions Project • Physical preservation of the volumes • Manual transcription of the depositions • 3 Researchers for 3 years • 12MB of data • Website to promote search and access • 1641.tcd.ie

  6. CULTURA • Content Management System • Normalization • Entity-uplift (creating knowledge) • User Modeling • Visual User Model Scrutiny • Personalized Recommendations

  7. Cultura Portal

  8. What do professional researchers want? • Certainty of Recall • Trust in the system is key when forming findings based on digital means • Scrutability • As is the ability to examine its results (and methods) • Blend Distance Reading and close up examination

  9. 1916 Witness Statements • Depositions taken after the 1916 Rising (Nov ‘13 – July ‘ 21) • Bureau of Military History • 36,000 pages • Scanned and OCRed • Noisy process

  10. Entity Extraction • Generally modern English • However, many Irish language proper nouns • No normalization performed • Pipeline of modules produced using GATE1 1http://gate.ac.uk/

  11. Entity Extraction cont. Words/terms categorized as Person, Location, Organization, etc. Programmed rules to logically extract complex entities, e.g. ‘An Roinn …’ or ‘Nth Company’ Exported text files (with character offsets)  MongoDB

  12. Entity Extraction results • Between ~75-90% accuracy • Is this good enough? • Short answer is no!

  13. Researcher-created Knowledge Maps

  14. Conclusion • For professional researchers two things matter • Certainty of Recall • Scrutability

  15. Thank You Owen.Conlan@scss.tcd.ie cultura-project.eu/1916 1641.tcd.ie

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