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VisualBib(va): A Visual Analytics Platform for Authoring and Reviewing Bibliographies

Antonina Dattolo
•
Marco Corbatto
•
Marco Angelini
2022
  • conference object

Abstract
Researchers are daily engaged in bibliographic tasks concerning literature search and review, both in the role of authors of scientific papers and when they are reviewers or evaluators. Current indexing platforms poorly support the visual exploration and comparative metadata analysis coming from subsequent searches. To address these issues, we designed and realized VisualBib(va), an online visual analytics solution, where a visual environment includes analysis control, bibliography exploration, automatic metadata extraction, and metrics visualization for real-time scenarios. We introduce and discuss here the relevant functions that VisualBib(va) supports through two usage scenarios related to the creation and the review of a bibliography. Full details about the VisualBib(va) design, implementation and evaluation are available in [3]. A fully interactive environment is available at http://visualbib.uniud.it/ (video demo: http://bit.ly/3fKuZNg).
DOI
10.1145/3531073.3534466
Archivio
http://hdl.handle.net/11390/1228605
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85132279628
https://dl.acm.org/doi/10.1145/3531073.3534466
https://ricerca.unityfvg.it/handle/11390/1228605
Diritti
open access
Soggetti
  • Bibliography Evaluati...

  • Bibliography Explorat...

  • Bibliometric

  • Information Visualiza...

  • Visual Analytics

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