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Armadillo Information Mining in Distributive Research Datasets in the Arts and Humanities.

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Presentation on theme: "Armadillo Information Mining in Distributive Research Datasets in the Arts and Humanities."— Presentation transcript:

1 Armadillo Information Mining in Distributive Research Datasets in the Arts and Humanities

2 The Problem Redundancy Synonyms Homonyms

3 Resources Eighteenth Century London Harben’s Dictionary of London The Westminster Historical Database London Location Indices Eighteenth Century Fire Insurance Policies Prerogative Court of Canterbury Wills The Proceedings of the Old Bailey John Strype’s “Survey…” Selected Criminal Records from the PRO

4 Knowledge Extraction

5 Linking Knowledge Resource: Physical Document Old Bailey Sessions Paper Resource: Thematic Division Trial Social Agent: Person Name: John Alexander McKenzie Social Contract: Sentence Death Resource: Physical Document PRO SP 44/90 Resource: Thematic Division Conditional Pardon Social Agent: Person Name: Alexander McKenzie Social Contract Pardon Link? 60%

6 Early Problems Finding Linkable Sources Broad Context of Synonymity Broad Context of Homonymity The Castle, a public house in King Street The Falcon, in Falcon Square Castle and Falcon, Parish of Mary-le-bone Castle StreetBy Fleet Ditch Castle StreetIn Houndsditch Castle StreetWithin the Ward of Baynard Same Different

7 Knowledge Bases in the Humanities Resource: Collection Old Bailey Proceedings Online Social Agent: Person Name: John Alexander McKenzie Location: Region Street Name: Castle Street Social Agent Role: Employment Apprentice Resource: Collection John Rocque’s Survey of London Location: Region Street Name: Old Castle Street Resource: Collection Public Record Office Social Agent: Person Name: Alexander McKenzie Social Agent Role: Employment Apprentice 80% 60%


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