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Using Clustering Across Union Catalogues to Enrich Entries with Indexing Information

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Data Analysis, Machine Learning and Knowledge Discovery

Abstract

The federal system in Germany has created a segmented library landscape. Instead of a central entity responsible for cataloguing and indexing, regional library unions share the workload cooperatively among their members. One result of this approach is limited sharing of cataloguing and indexing information across union catalogues as well as heterogeneous indexing of items with almost equivalent content: different editions of the same work. In this paper, a method for clustering entries in library catalogues is proposed that can be used to reduce this heterogeneity as well as share indexing information across catalogue boundaries. In two experiments, the method is applied to several union catalogues and the results show that a surprisingly large number of previously not indexed entries can be enriched with indexing information. The quality of the indexing has been positively evaluated by human professionals and the results have already been imported into the production catalogues of two library unions.

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Notes

  1. 1.

    Subject Headings Authority File. In a recent development, the SWD is combined with authority files for persons and corporate bodies to form the Gemeinsame Normdatei (GND) (engl.: Universal Authority File). This file will be suitable to be used with the proposed RDA cataloguing rules. The catalogue data used for the experiments described in this paper still used the SWD, but the results can be applied to catalogues using the GND.

  2. 2.

    Rules the for subject catalogue. See Scheven et al. (2012) for a complete reference.

  3. 3.

    Regensburg Union Classification System. See Lorenz (2008) for an introduction.

  4. 4.

    Library Union of South-West Germany. Catalogue: http://swb.bsz-bw.de/.

  5. 5.

    Hessian Library Information System. Catalogue: http://www.portal.hebis.de/.

  6. 6.

    University Library Center of North-Rhine Westphalia. Catalogue: http://okeanos-www.hbz-nrw.de/F/.

  7. 7.

    Bavarian Library Union. Catalogue: http://www.gateway-bayern.de/.

  8. 8.

    Common Library Network. Catalogue: http://gso.gbv.de/.

  9. 9.

    Reprository: http://culturegraph.sf.net.

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Author information

Authors and Affiliations

  1. Stuttgart Media University, Nobelstraße 10, 70569, Stuttgart, Germany

    Magnus Pfeffer

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  1. Magnus Pfeffer
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Correspondence to Magnus Pfeffer .

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Editors and Affiliations

  1. Faculty of Computer Science, Otto-von-Guericke-Universität Magdeburg, Magdeburg, Germany

    Myra Spiliopoulou

  2. Institute of Computer Science, University of Hildesheim, Hildesheim, Germany

    Lars Schmidt-Thieme

  3. Institute of Computer Science, University of Hildesheim, Hildesheim, Germany

    Ruth Janning

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Pfeffer, M. (2014). Using Clustering Across Union Catalogues to Enrich Entries with Indexing Information. In: Spiliopoulou, M., Schmidt-Thieme, L., Janning, R. (eds) Data Analysis, Machine Learning and Knowledge Discovery. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Cham. https://doi.org/10.1007/978-3-319-01595-8_47

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