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    Creating a Knowledge Base to research the history of UK Museums through Rapid Application Development

    Poulovassilis, Alexandra and Larsson, Nick and Candlin, Fiona and Larkin, Jamie and Ballatore, Andrea (2020) Creating a Knowledge Base to research the history of UK Museums through Rapid Application Development. ACM Journal of Computing and Cultural Heritage 12 (4), pp. 1-27. ISSN 1556-4673.

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    Abstract

    Several studies have highlighted the absence of an integrated comprehensive dataset covering all of the UK's museums, hence impeding research into the emergence, evolution and wider impact of the UK's museums sector. "Mapping Museums" is an interdisciplinary project aiming to develop a comprehensive database of UK museums in existence since 1960, and to use this to undertake an evidence-based analysis of the development of the UK's museum sector during 1960-2020 and the links to wider cultural, social, and political concerns. A major part of the project has been the iterative, participatory design of a new RDF/S Knowledge Base to store data and metadata relating to the UK's museums, and a Web Application for the project's humanities scholars to browse, search and visualise the data in order to investigate their research questions. This paper presents the challenges we faced in developing the Knowledge Base and Web Application, our methodology and methods, the design and implementation of the system, and the design, outcomes and implications of a user trial undertaken with a group of experts from the UK's museums sector.

    Metadata

    Item Type: Article
    Additional Information: © ACM, 2019. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published at the link above.
    School: Birkbeck Faculties and Schools > Faculty of Science > School of Computing and Mathematical Sciences
    Research Centres and Institutes: Birkbeck Knowledge Lab, Innovation Management Research, Birkbeck Centre for, Data Analytics, Birkbeck Institute for
    Depositing User: Alex Poulovassilis
    Date Deposited: 11 Jul 2019 05:43
    Last Modified: 09 Aug 2023 12:46
    URI: https://eprints.bbk.ac.uk/id/eprint/28052

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