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Dacura: A new solution to data harvesting and knowledge extraction for the historical sciences

Abstract:

New advances in computer science address problems historical scientists face in gathering and evaluating the now vast data sources available through the Internet. As an example we introduce Dacura, a dataset curation platform designed to assist historical researchers in harvesting, evaluating, and curating high-quality information sets from the Internet and other sources. Dacura uses semantic knowledge graph technology to represent data as complex, inter-related knowledge allowing rapid searc...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1080/01615440.2018.1443863

Authors


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Institution:
University of Oxford
Division:
Social Sciences Division
Department:
Anthropology
Role:
Author
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John Templeton Foundation More from this funder
Tricoastal Foundation More from this funder
Publisher:
Routledge Publisher's website
Journal:
Historical Methods: A Journal of Quantitative and Interdisciplinary History Journal website
Volume:
51
Issue:
3
Pages:
165-174
Publication date:
2018-03-20
Acceptance date:
2018-02-19
DOI:
EISSN:
1940-1906
ISSN:
0161-5440
Source identifiers:
826682
Keywords:
Pubs id:
pubs:826682
UUID:
uuid:5c1d6467-cbd8-4e74-88a6-e940ed241bf5
Local pid:
pubs:826682
Deposit date:
2018-02-26

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