Crowdsourcing annotations for comics corpora

Abstract : In this proposal, we address the difficulty of creating a digitised corpus by using a crowdsourced approach for annotating comic books. The resulting XML-based encodings could assist not only researchers, but publishers and collection curators equally. The motivation for our work is three-fold. Digital Humanities scholars will be provided with an annotated corpus for conducting research relating to comics and sequential art. Curators and collectors would be provided with a structured content, which could be more easily integrated within their collections or databases. This may assist them into enlarging public or private databases of characters or comics series and enable the creation of artefacts such as comic books dictionaries, search indices and dictionaries of onomatopoeia. From a publishing perspective, the data we are collecting will allow publishers and digital comics authors to create enhanced content for a better reading experience.
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https://hal.sorbonne-universite.fr/hal-01495518
Contributor : Mihnea Tufis <>
Submitted on : Saturday, March 25, 2017 - 1:12:18 PM
Last modification on : Thursday, March 21, 2019 - 1:12:00 PM
Long-term archiving on : Monday, June 26, 2017 - 12:44:19 PM

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  • HAL Id : hal-01495518, version 1

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Mihnea Tufis, Jean-Gabriel Ganascia. Crowdsourcing annotations for comics corpora. 2017. ⟨hal-01495518⟩

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