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Connected Histories Sources for Building British History, 1500-1900 Funded under the JISC eContent Capital Programme for 18 months Partners:  Prof. Tim.

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Presentation on theme: "Connected Histories Sources for Building British History, 1500-1900 Funded under the JISC eContent Capital Programme for 18 months Partners:  Prof. Tim."— Presentation transcript:

1 Connected Histories Sources for Building British History, Funded under the JISC eContent Capital Programme for 18 months Partners:  Prof. Tim Hitchcock (Univ. of Hertfordshire)  Prof. Robert Shoemaker (Univ. of Sheffield)  Institute for Historical Research, University of London (Jane Winters)  HRI Digital, Humanities Research Institute (Univ. of Sheffield)

2 British History Online, including the forthcoming People in Place Database: 250 million words Old Bailey Proceedings Online, : 120 million words Plebeian Lives and the Making of Modern London: 40 million words 17 th and 18th Century Burney Collection from the British Library: 3 million pages British Library 19th Century Newspapers: 2 million pages Origins Network: 83 million names Eighteenth-Century Parliamentary Papers: 566,719 pages Clergy of the Church of England Database : 105,000 names `Strype’s Survey of London: 2 million words Charles Booth Online Archive: 12 maps, 2,500 pages of text Nineteenth-Century Parliamentary Papers: 200,000 sessional papers The John Johnson Collection of Printed Ephemera: 1 million items British Museum Image Collection Database: 141,415 items Early English Books Online (EEBO): 26,000 texts Eighteenth Century Collections Online (ECCO): 26 million pages

3 1. Search indexes reside on the Sheffield server 2. The user interface is hosted by the London server When a user conducts a search: 1. The London server sends the query to the Sheffield server 2. The Sheffield server queries the indexes and returns the results to the London server 3. The London server renders the results When a user views a result: 1. The document’s title and result snippet are rendered by the London server 2. The document’s URL takes the user to the full document on the content provider’s live website

4 1. Acquire data from providers 2. Technical audit 3. Apply the NLP 4. Evaluate the accuracy of the NLP 5. Generate indexes, snippets and metadata 6. Upload to Sheffield server Meanwhile: 1. Establish agreed search exchange protocol between Sheffield and London 2. Develop search querying 3. Develop user search interface and other features 4. System testing, load testing etc

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