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Homonym Detection in Curated Bibliographies: Learning from dblp’s Experience

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Digital Libraries for Open Knowledge (TPDL 2018)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11057))

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Abstract

Identifying (and fixing) homonymous and synonymous author profiles is one of the major tasks of curating personalized bibliographic metadata repositories like the dblp computer science bibliography. In this paper, we present a machine learning approach to identify homonymous profiles. We train our model on a novel gold-standard data set derived from the past years of active, manual curation at dblp.

F. Reitz—Research funded by a grant of the Leibniz Competition, grant no. LZI-SAW-2015-2.

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Author information

Authors and Affiliations

  1. Schloss Dagstuhl LZI, dblp computer science bibliography, 66687, Wadern, Germany

    Marcel R. Ackermann & Florian Reitz

Authors
  1. Marcel R. Ackermann
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  2. Florian Reitz
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Corresponding author

Correspondence to Marcel R. Ackermann .

Editor information

Editors and Affiliations

  1. University Carlos III, Madrid, Spain

    Eva Méndez

  2. USI, Università della Svizzera Italiana, Lugano, Switzerland

    Fabio Crestani

  3. INESC TEC, Faculty of Engineering, University of Porto, Porto, Portugal

    Cristina Ribeiro

  4. INESC TEC, Faculty of Engineering, University of Porto, Porto, Portugal

    Gabriel David

  5. INESC TEC, Faculty of Engineering, University of Porto, Porto, Portugal

    João Correia Lopes

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Ackermann, M.R., Reitz, F. (2018). Homonym Detection in Curated Bibliographies: Learning from dblp’s Experience. In: Méndez, E., Crestani, F., Ribeiro, C., David, G., Lopes, J. (eds) Digital Libraries for Open Knowledge. TPDL 2018. Lecture Notes in Computer Science(), vol 11057. Springer, Cham. https://doi.org/10.1007/978-3-030-00066-0_5

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  • DOI: https://doi.org/10.1007/978-3-030-00066-0_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-00065-3

  • Online ISBN: 978-3-030-00066-0

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