Jim Salmons

3 Abonné

7 SlideShares 3 Abonné 4 Suivis

7 SlideShares 3 Abonné 4 Suivis

digital humanities internet archive knight news challenge optical character recognition cultural heritage cognitive computing digitization ocr citizen scientist library of congress dariah social networks citizen science expert systems macintosh history machine learning computational linguistics

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FactMiners & PRImA's "Turning Text Soup into Smart Data" - The Goal: Smart Data

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"Big Picture" Backgrounder for Crowdsourcing Ground-Truth - FactMiners, PRImA, & eMOP Knight Prototype Fund Entry

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The Yin-Yang Epigenesis of the Long-tail of the Scale-free Social Network of #CitizenScience And Power-Curve Bending Emergent Growth of the #CitizenScientist

il y a 5 ans • 816 Vues

NewsEye WPIP21 conference: The Case for Magazines slides

il y a 3 ans • 31 Vues

NewsEye WPIP21 conference: The Case for Magazines slides

il y a 3 ans • 85 Vues

Notes and Letters of Support for Crowdsourcing Ground Truth - FactMiners, PRImA, & eMOP Knight Prototype Fund Entry

il y a 8 ans • 727 Vues

ExperOPS5: A Rule-based, Data-driven Production System Language Puts a Mind behind a MacinTalk Tongue

il y a 8 ans • 581 Vues

OCR-D: An end-to-end open source OCR framework for historical printed documents

cneudecker • il y a 4 ans

Interopérabilité de l'information bibliographique et muséologique

Patrick Le Boeuf • il y a 8 ans

DLF Forum 2015: Beyond eMOP

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Introducing the PRESSoo conceptual model for continuing resources

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An Example of Library and Museum Cooperation: FRBRoo

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On-Demand RDF Graph Databases in the Cloud

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Digital Scholarship Intersection Scale Social Machines

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Scholarly Social Machines

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Architectural Patterns for Scaling Microservices and APIs - GlueCon 2015

Lori MacVittie • il y a 8 ans

digital humanities internet archive knight news challenge optical character recognition cultural heritage cognitive computing digitization ocr citizen scientist library of congress dariah social networks citizen science expert systems macintosh history machine learning computational linguistics

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