VisualBib(va): A Visual Analytics Platform for Authoring and Reviewing Bibliographies
Article No.: 79, Pages 1 - 3
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).
References
[1]
Fabian Beck, Sebastian Koch, and Daniel Weiskopf. 2016. Visual Analysis and Dissemination of Scientific Literature Collections with SurVis. IEEE Transactions on Visualization and Computer Graphics 22, 1(2016), 180–189. https://doi.org/10.1109/TVCG.2015.2467757
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Michael Bostock, Vadim Ogievetsky, and Jeffrey Heer. 2011. D3 data-driven documents. IEEE Transactions on Visualization and Computer Graphics 17, 12(2011), 2301–2309.
[3]
Antonina Dattolo, Marco Corbatto, and Marco Angelini. 2022. Authoring and Reviewing Bibliographies: Design and Development of a Visual Analytics Online Platform. IEEE Access 10(2022), 21631–21645. https://doi.org/10.1109/ACCESS.2022.3153027
[4]
Ao Dong, Wei Zeng, Xi Chen, and Zhanglin Cheng. 2019. VIStory: Interactive Storyboard for Exploring Visual Information in Scientific Publications. In Proc. of the 12th Int. Symposium on Visual Information Communication and Interaction (Shanghai, China) (VINCI’2019). ACM, Article 12, 8 pages. https://doi.org/10.1145/3356422.3356430
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Geoffrey M. Draper, Yarden Livnat, and Richard F. Riesenfeld. 2009. A Survey of Radial Methods for Information Visualization. IEEE Transactions on Visualization and Computer Graphics 15, 5(2009), 759–776. https://doi.org/10.1109/TVCG.2009.23
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Niklas Elmqvist and Philippas Tsigas. 2007. CiteWiz: A Tool for the Visualization of Scientific Citation Networks. Information Visualization 6, 3 (2007), 215–232. https://doi.org/10.1057/palgrave.ivs.9500156 arXiv:https://doi.org/10.1057/palgrave.ivs.9500156
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Paolo Federico, Florian Heimerl, Steffen Koch, and Silvia Miksch. 2017. A Survey on Visual Approaches for Analyzing Scientific Literature and Patents. IEEE Transactions on Visualization and Computer Graphics 23, 9(2017), 2179–2198. https://doi.org/10.1109/TVCG.2016.2610422
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Florian Heimerl, Qi Han, Steffen Koch, and Thomas Ertl. 2016. CiteRivers: Visual Analytics of Citation Patterns. IEEE Transactions on Visualization and Computer Graphics 22, 1(2016), 190–199. https://doi.org/10.1109/TVCG.2015.2467621
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David Jurgens, Srijan Kumar, Raine Hoover, Dan McFarland, and Dan Jurafsky. 2018. Measuring the Evolution of a Scientific Field through Citation Frames. Transactions of the Association for Computational Linguistics 6 (2018), 391–406.
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June 2022
414 pages
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Association for Computing Machinery
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Published: 06 June 2022
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AVI 2022
AVI 2022: International Conference on Advanced Visual Interfaces
June 6 - 10, 2022
Frascati, Rome, Italy
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