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AnT&CoW: Share, Classify and Elaborate Documents by means of Annotation

Gaëlle Lortal 1 Myriam Lewkowicz 1 Amalia Todirascu-Courtier 2
1 Tech-CICO - TECHnologies pour la Coopération, l’Interaction et les COnnaissances dans les collectifs
ICD - Institut Charles Delaunay, CNRS - Centre National de la Recherche Scientifique : FRE2732
2 LILPA - Linguistique, Langues et Parole
UNISTRA - Université de Strasbourg : UR1339
Abstract : As collective and mediated work spread out, digital data, and particularly documents, become predominant. In this paper, we describe how to support document management and especially document classification within a mechanical engineering design team working in an asynchronous and distributed way. The team members exchange comments to plan their project, to share documents, and to elaborate new documents. These comments are annotations linked together and linked to document(s). Annotations enable users to understand who is playing which role in the project and how collaborators understand a document and classify it. Observing this team led us to design an annotation tool (AnT&CoW) that we have implemented to support its collective activity. We conclude this article by focusing on the classification functionality, based on the use of natural language processing tools.
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https://hal-utt.archives-ouvertes.fr/hal-02548604
Contributor : Daniel Gavrysiak <>
Submitted on : Monday, April 20, 2020 - 5:47:53 PM
Last modification on : Tuesday, April 21, 2020 - 2:03:30 AM

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  • HAL Id : hal-02548604, version 1

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Gaëlle Lortal, Myriam Lewkowicz, Amalia Todirascu-Courtier. AnT&CoW: Share, Classify and Elaborate Documents by means of Annotation. Digital Information Management (ICDIM), International Conference on, Dec 2006, Bangalore, India. ⟨hal-02548604⟩

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