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BL Labs Competition 2016
- 1. 1 @BL_Labs @BL_DigiSchol #bldigital http://www.bl.uk/projects/british-library-labs Funded by the Andrew W. Mellon Foundation Roly Keating Chief Executive of the British Library
- 2. 2 @BL_Labs @BL_DigiSchol #bldigital 2016 • 18 institutions visited • 5000 miles travelled • 50 presentations & 25 workshops • 730 researchers • 250 expressions of interest • 40 researchers, artists, entrepreneurs & educators supported • 60TB of data via post • 9TB of data via data.bl.uk (Nov 16) • Nearly half a billion views on BL Flickr Commons since launch in Dec 2013
- 3. 3 @BL_Labs @BL_DigiSchol #bldigital Cultural Heritage Datasets Datasets about our collections Bibliographic datasets relating to our published and archival holdings Datasets for content mining Content suitable for use in text and data mining research Datasets for image analysis Image collections suitable for large-scale image- analysis-based research Datasets from UK Web Archive Data and API services available for accessing UK Web Archive Digital mapping Geospatial data, cartographic applications, digital aerial photography and scanned historic map materials https://data.bl.uk Launch today: November 7, 2016 Discussion list: http://www.jiscmail.ac.uk/CULTURAL-HERITAGE-DATASETS
- 4. 4 @BL_Labs @BL_DigiSchol #bldigital Labs Awards •Research •Commercial •Artistic •Teaching / Learning •British Library Labs Staff
- 5. 5 @BL_Labs @BL_DigiSchol #bldigital Finalists 2016 Hannah-Rose Murray PhD student, University of Nottingham Black Abolitionist Performances and their Presence in Britain Luda Karen Brian Hannah-Rose Luda Zhao, Karen Wang (Masters Students at Stanford University), Brian Do (Harvard Medicine and PhD student) SherlockNet: Using Convolutional Neural Networks to Automatically Tag and Caption the British Library Collection
- 6. 6 @BL_Labs @BL_DigiSchol #bldigital And the winner is…
- 7. 7 @BL_Labs @BL_DigiSchol #bldigital Black Abolitionist Performances and their presence in Britain Hannah-Rose Murray
- 8. 8 @BL_Labs @BL_DigiSchol #bldigital SherlockNet: Using Convolutional Neural Networks to automatically tag & caption the BL Flickr collection Karen Wang, Luda Zhao and Brian Do.
Editor's Notes
- 33 Seconds (100 Words) In a nutshell the project encourages researchers, artists, entrepreneurs, educators and anyone else, <Click> to ‘experiment’ with our digital collections and data. We are particularly interested in those who have questions which focus on the potential to find and create NEW things through access to the digital content. For example, being able to ask a question across thousands of digitised books or newspapers using computational techniques would not feasible using manual methods. Let’s look at a clear example. <Click>