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GAP: a NeoGeo approach to classical resources

GAP: a NeoGeo approach to classical resources
GAP: a NeoGeo approach to classical resources
Google Ancient Places (GAP) is a Google Digital Humanities Award recipient that will mine the Google Books corpus for classical material that has a strong geographic and historical basis. GAP will allow scholars, students, and enthusiasts world-wide to query the Google Books corpus to ask for books related to a geographic location or to ask for the locations referred to in a classical text. We will overcome the traditional difficulty of identifying place names by using a combination of URI-based gazetteers and an identification algorithm that associates the linear clustering of places within narrative texts with the geographic clustering of locations in the real world.
0024-094X
Isaksen, Leif
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Barker, Elton
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Kansa, Eric
e29ed4f5-1b6b-49c5-8757-d1dd04a4a793
Byrne, Kate
c3079efe-40a3-4a66-a309-917b7e377c55
Isaksen, Leif
ecb71d6b-bea8-423c-8685-33d4c2658467
Barker, Elton
795fc57a-7bdd-45a8-9a15-b2ac21136c43
Kansa, Eric
e29ed4f5-1b6b-49c5-8757-d1dd04a4a793
Byrne, Kate
c3079efe-40a3-4a66-a309-917b7e377c55

Isaksen, Leif, Barker, Elton, Kansa, Eric and Byrne, Kate (2012) GAP: a NeoGeo approach to classical resources. Leonardo, 45 (1).

Record type: Article

Abstract

Google Ancient Places (GAP) is a Google Digital Humanities Award recipient that will mine the Google Books corpus for classical material that has a strong geographic and historical basis. GAP will allow scholars, students, and enthusiasts world-wide to query the Google Books corpus to ask for books related to a geographic location or to ask for the locations referred to in a classical text. We will overcome the traditional difficulty of identifying place names by using a combination of URI-based gazetteers and an identification algorithm that associates the linear clustering of places within narrative texts with the geographic clustering of locations in the real world.

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Published date: 2012
Organisations: Archaeology

Identifiers

Local EPrints ID: 204481
URI: http://eprints.soton.ac.uk/id/eprint/204481
ISSN: 0024-094X
PURE UUID: 47bd027e-1436-4172-8667-d3bf2d942e73

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Date deposited: 28 Nov 2011 16:25
Last modified: 06 Oct 2020 23:15

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