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Entrup, Elias [Author]; Eppelin, Anita [Author]; Ewerth, Ralph [Author]; Hartwig, Josephine [Author]; Tullney, Marco [Author]; Wohlgemuth, Michael [Author]; Hoppe, Anett [Author]; Silvello, Gianmaria [Author]; Corcho, Oscar [Author]; Manghi, Paolo [Author]; Di Nunzio, Giorgio Maria [Author]; Golub, Koraljka [Author]; Ferro, Nicola [Author]; Poggi, Antonella [Author]

B!SON: A Tool for Open Access Journal Recommendation - [published Version]

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  • Media type: E-Article; Text
  • Title: B!SON: A Tool for Open Access Journal Recommendation
  • Contributor: Entrup, Elias [Author]; Eppelin, Anita [Author]; Ewerth, Ralph [Author]; Hartwig, Josephine [Author]; Tullney, Marco [Author]; Wohlgemuth, Michael [Author]; Hoppe, Anett [Author]; Silvello, Gianmaria [Author]; Corcho, Oscar [Author]; Manghi, Paolo [Author]; Di Nunzio, Giorgio Maria [Author]; Golub, Koraljka [Author]; Ferro, Nicola [Author]; Poggi, Antonella [Author]
  • Published: Cham, Switzerland : Springer, 2022
  • Published in: Linking theory and practice of digital libraries : 26th International Conference on Theory and Practice of Digital Libraries, TPDL 2022, Padua, Italy, September 20-23, 2022, proceedings ; Lecture notes in computer science
  • Issue: published Version
  • Language: English
  • DOI: https://doi.org/10.15488/17059; https://doi.org/10.1007/978-3-031-16802-4_33
  • ISBN: 978-3-031-16801-7
  • ISSN: 0302-9743
  • Keywords: Konferenzschrift ; Recommendation system ; Paper submission ; Open access ; Publishing
  • Origination:
  • Footnote: Diese Datenquelle enthält auch Bestandsnachweise, die nicht zu einem Volltext führen.
  • Description: Finding a suitable open access journal to publish scientific work is a complex task: Researchers have to navigate a constantly growing number of journals, institutional agreements with publishers, funders’ conditions and the risk of Predatory Publishers. To help with these challenges, we introduce a web-based journal recommendation system called B!SON. It is developed based on a systematic requirements analysis, built on open data, gives publisher-independent recommendations and works across domains. It suggests open access journals based on title, abstract and references provided by the user. The recommendation quality has been evaluated using a large test set of 10,000 articles. Development by two German scientific libraries ensures the longevity of the project.
  • Access State: Open Access