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Acquiring Metadata to Support Biographies of Museum Artefacts

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Maturity and Innovation in Digital Libraries (ICADL 2018)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11279))

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Abstract

Museum collections are primarily experienced in physical museums. Metadata and linked data have the potential to support new models of interaction with heritage objects outside museums. Object biographies are a conceptual lens through which to view object metadata. We explore the concept of object biography through an interview-based study of selected artefacts from local New Zealand museums. We discuss how the nature of this metadata can support new object-centric interaction in the wider environment.

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Notes

  1. 1.

    https://www.loc.gov/marc/.

  2. 2.

    https://collectionstrust.org.uk/spectrum/.

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Acknowledgements

We would like to thank the participants, notably those from local heritage institutions.

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Authors and Affiliations

  1. Department of Computer Science, University of Waikato, Hamilton, 3240, New Zealand

    Can Zhao & David M. Nichols

  2. School of Information Sciences, University of Illinois at Urbana-Champaign, Champaign, IL, 61820, USA

    Michael B. Twidale

Authors
  1. Can Zhao
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  2. Michael B. Twidale
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  3. David M. Nichols
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Corresponding author

Correspondence to Can Zhao .

Editor information

Editors and Affiliations

  1. University College London Qatar, Doha, Qatar

    Milena Dobreva

  2. University of Waikato, Hamilton, New Zealand

    Annika Hinze

  3. University of Ljubljana, Ljubljana, Slovenia

    Maja Žumer

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Zhao, C., Twidale, M.B., Nichols, D.M. (2018). Acquiring Metadata to Support Biographies of Museum Artefacts. In: Dobreva, M., Hinze, A., Žumer, M. (eds) Maturity and Innovation in Digital Libraries. ICADL 2018. Lecture Notes in Computer Science(), vol 11279. Springer, Cham. https://doi.org/10.1007/978-3-030-04257-8_31

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  • DOI: https://doi.org/10.1007/978-3-030-04257-8_31

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-04256-1

  • Online ISBN: 978-3-030-04257-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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