• WW1LOD: an application of CIDOC-CRM to World War 1 linked data

    Author(s):
    Eero Hyvönen, Thea Lindquist (see profile) , Eetu Mäkelä, Juha Törnroos
    Date:
    2017
    Group(s):
    Digital Humanists
    Subject(s):
    Twentieth century, Digital humanities, Military history, Data sets, Open access publishing
    Item Type:
    Article
    Tag(s):
    Linked Data, Semantic Web, World War I, data modeling, CIDOC-CRM, 20th century, Open data
    Permanent URL:
    http://dx.doi.org/10.17613/M60V48
    Abstract:
    The CIDOC-CRM standard indicates that common events, actors, places and timeframes are important in linking together cultural material, and provides a framework for describing them. However, merely describing entities in this way in two datasets does not yet interlink them. To do that, the identities of instances still need to be either reconciled, or be based on a shared vocabulary. The WW1LOD dataset presented in this paper was created to facilitate both of these approaches for collections dealing with the First World War. For this purpose, the dataset includes events, places, agents, times, keywords, and themes related to the war, based on over ten different authoritative data sources from providers such as the Imperial War Museum. The content is harmonized into RDF, and published as a Linked Open Data service. While generally basing on CIDOC-CRM, some modeling choices used also deviate from it where our experience dictated such. In the article, these deviations are discussed in the hope that they may serve as examples where CIDOC-CRM itself may warrant further examination. As a demonstration of use, the dataset and online service have been used to create a contextual reader application that is able link together and pull in information related to WW1 from e.g. 1914–1918 Online, Wikipedia, WW1 Discovery, Europeana and the Digital Public Library of America.
    Metadata:
    xml
    Published as:
    Journal article     Show details
    Pub. DOI:
    10.1007/s00799-016-0186-2
    Publisher:
    Springer Nature
    Pub. Date:
    2017-11-1
    Journal:
    International Journal on Digital Libraries
    Volume:
    18
    Issue:
    4
    Page Range:
    333 - 343
    ISSN:
    1432-5012,1432-1300
    Status:
    Published
    Last Updated:
    6 years ago
    License:
    Attribution-NonCommercial-ShareAlike
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