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Exploring Large Digital Library Collections Using a Map-Based Visualisation

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Research and Advanced Technology for Digital Libraries (TPDL 2013)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8092))

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Abstract

In this paper we describe a novel approach for exploring large document collections using a map-based visualisation. We use hierarchically structured semantic concepts that are attached to the documents to create a visualisation of the semantic space that resembles a Google Map. The approach is novel in that we exploit the hierarchical structure to enable the approach to scale to large document collections and to create a map where the higher levels of spatial abstraction have semantic meaning. An informal evaluation is carried out to gather subjective feedback from users. Overall results are positive with users finding the visualisation enticing and easy to use.

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Author information

Authors and Affiliations

  1. Department for Computer Science, University of Sheffield, Sheffield, UK

    Mark Hall

  2. Information School, University of Sheffield, Sheffield, UK

    Paul Clough

Authors
  1. Mark Hall
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  2. Paul Clough
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Editor information

Editors and Affiliations

  1. Department of Computer and Information Science, Norwegian University of Science and Technology, 7491, Trondheim, Norway

    Trond Aalberg

  2. Department of Archives and Library Science, Ionian University, 49100, Corfu, Greece

    Christos Papatheodorou

  3. Department of Library Information and Archive Sciences, University of Malta, MSD2280, Msida, Malta

    Milena Dobreva

  4. Library and Information Center, University of Patras, 26504, Patras, Greece

    Giannis Tsakonas

  5. National Archives of Malta, RBT1043, Rabat, Malta

    Charles J. Farrugia

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Hall, M., Clough, P. (2013). Exploring Large Digital Library Collections Using a Map-Based Visualisation. In: Aalberg, T., Papatheodorou, C., Dobreva, M., Tsakonas, G., Farrugia, C.J. (eds) Research and Advanced Technology for Digital Libraries. TPDL 2013. Lecture Notes in Computer Science, vol 8092. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40501-3_21

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  • DOI: https://doi.org/10.1007/978-3-642-40501-3_21

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-40500-6

  • Online ISBN: 978-3-642-40501-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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