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Automatic subject classification for improving retrieval in a Swedish repository
Linnaeus University, Faculty of Arts and Humanities, Department of Cultural Sciences. (Library and Information Science)ORCID iD: 0000-0003-4169-4777
Linnaeus University, Faculty of Arts and Humanities, Department of Languages.
Linnaeus University, Faculty of Technology, Department of Computer Science.ORCID iD: 0000-0002-0519-2537
Linnaeus University, Faculty of Technology, Department of Media Technology.ORCID iD: 0000-0001-6745-4398
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2017 (English)In: ISKO UK Conference 2017: Knowledge Organization: what's the story?, 11 – 12 September 2017, London, 2017Conference paper, Poster (with or without abstract) (Refereed)
Abstract [en]

The recent adoption of the Dewey Decimal Classification (DDC) in Sweden has ignited discussions about automated subject classification especially for digital collections, which generally seem to lack subject indexing from controlled vocabularies. This is particularly problematic in the context of academic resource retrieval tasks, which require an understanding of discipline-specific terminologies and the narratives behind their internal ontologies. The currently available experimental classification software have not been adequately tested and their usefulness is unproven especially for Swedish language resources. We address these issues by investigating a unifying framework of automatic subject indexing for the DDC, including an analysis of suitable interactive visualisation features for supporting these aims. We will address the disciplinary narratives behind the DDC in selected subject areas and the preliminary results will include an analysis of the data collection and a breakdown of the methodology. Major visualisation possibilities in support of the classification process are also outlined. The project will contribute significantly to Swedish information infrastructure by improving the findability of Swedish research resources by subject searching, one of the most common yet the most challenging types of searching.

Place, publisher, year, edition, pages
2017.
National Category
Information Studies
Research subject
Computer Science, Information and software visualization
Identifiers
URN: urn:nbn:se:lnu:diva-67925OAI: oai:DiVA.org:lnu-67925DiVA, id: diva2:1140612
Conference
ISKO UK Conference 2017: Knowledge Organization: what's the story?, 11 – 12 September 2017, London
Projects
DISA-DHAvailable from: 2017-09-12 Created: 2017-09-12 Last updated: 2018-01-10Bibliographically approved

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Poster(2736 kB)55 downloads
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Golub, KoraljkaTyrkkö, JukkaKerren, AndreasJusufi, Ilir

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Golub, KoraljkaTyrkkö, JukkaKerren, AndreasJusufi, Ilir
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Department of Cultural SciencesDepartment of LanguagesDepartment of Computer ScienceDepartment of Media Technology
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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf