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Revolutionary Entities: Turning Data into Knowledge to Drive Personalized Exploration of The Irish Rising of 1916 Owen Conlan, Alexander O’Connor, Órla Ní Loinsigh, Gary Munnelly, Séamus Lawless CNGL – Centre for
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Document Date: 2014-10-26 22:39:17


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File Size: 1,25 MB

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City

Limassol / New York / Kyoto / Rome / Lausanne / Lincoln / /

Company

CULTURA / Enniscorthy Co. / Google / /

Continent

Europe / /

Country

Switzerland / Cyprus / Irish Republic / Japan / United States / Ireland / /

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Facility

Statistics Trinity College / Trinity College / University of Nebraska / HathiTrust Research Center / /

IndustryTerm

text mining / natural language infrastructure / generic digital humanities portal / Web systems / knowledge systems / language processing / annotation diff tool / natural language processing / Social network / adaptive web / web personalization / web-search style keywords / /

Organization

Centre for Global Intelligent Content / Japanese Association for Digital Humanities / HathiTrust Research Center / Science Foundation Ireland / Bureau of Military History / Irish Bureau of Military History2 / European Commission / School of History University College Cork Cork / Trinity College Dublin / University of Nebraska / European Union / Independence / Global Intelligent Content School of Computer Science and Statistics Trinity College Dublin Dublin / /

Person

Jody Perkins / Matthew Munson / Séamus Lawless / Christina M. Steiner / Gary Munnelly / Owen Conlan / Christof Schöch / Eva-Catherine Hillemann / Wade / V / Eoin Bailey / Cormac Hampson / Quinn Dombrowski / Rachel Murphy / /

Position

User Model Controls / /

ProgrammingLanguage

XML / /

ProvinceOrState

Nebraska / New York / Marche / /

PublishedMedium

Lecture Notes in Computer Science / /

Technology

XML / Optical Character Recognition / PDF / OCR / Natural language processing / /

URL

http /

SocialTag