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Investigating Facets to Characterise Citations for Scholars

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Semantics, Analytics, Visualization (SAVE-SD 2017, SAVE-SD 2018)

Abstract

Citations within academic literature keep gaining more importance both for the work of scholars and for improving digital libraries related tools and services. We present in this article the preliminary results of an investigation on the characterisations of citations whose objective is to propose a framework for globally enriching citations with explicit information about their nature, role and characteristics. This article focuses on the set of properties we are studying to support the automatic analysis of large corpora of citations. This model is grounded on a literature review also detailed here, and has been submitted to a group of several hundreds of scholars of all disciplines in the form of a survey. The results confirm that these properties are perceived as useful.

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Notes

  1. 1.

    CiteULike homepage: http://www.citeulike.org.

  2. 2.

    Open Linked Data from The Open university: http://data.open.ac.uk.

  3. 3.

    CiTO Reference Annotation Tools for Google Chrome.

  4. 4.

    Link to Link Wordpress plugin: https://wordpress.org/plugins/link-to-link/.

  5. 5.

    Balisage Conference WebPage: http://www.balisage.net.

  6. 6.

    See http://scar.disi.unibo.it/survey/ for the full text of the questionnaire.

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Correspondence to Angelo Di Iorio .

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Di Iorio, A., Limpens, F., Peroni, S., Rotondi, A., Tsatsaronis, G., Achtsivassilis, J. (2018). Investigating Facets to Characterise Citations for Scholars. In: González-Beltrán, A., Osborne, F., Peroni, S., Vahdati, S. (eds) Semantics, Analytics, Visualization . SAVE-SD SAVE-SD 2017 2018. Lecture Notes in Computer Science(), vol 10959. Springer, Cham. https://doi.org/10.1007/978-3-030-01379-0_11

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  • DOI: https://doi.org/10.1007/978-3-030-01379-0_11

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