DocumentCode :
2733988
Title :
AnT&CoW: Share, Classify and Elaborate Documents by means of Annotation
Author :
Lortal, Gaëlle ; Lewkowicz, Myriam ; Todirascu-Courtier, Amalia
Author_Institution :
ICD - Tech-CICO, Univ. of Technol. of Troyes, Troyes
fYear :
2006
fDate :
6-6 Dec. 2006
Firstpage :
332
Lastpage :
337
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.
Keywords :
classification; design engineering; document handling; groupware; mechanical engineering computing; natural language processing; annotation tool; asynchronous way; distributed way; document classification; document management; document sharing; mechanical engineering design team working; natural language processing tool; Bibliographies; Collaborative work; Engineering management; Engines; Information retrieval; Mechanical engineering; Natural language processing; Project management; Software libraries; Team working;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Digital Information Management, 2006 1st International Conference on
Conference_Location :
Bangalore
Print_ISBN :
1-4244-0682-X
Type :
conf
DOI :
10.1109/ICDIM.2007.369219
Filename :
4221911
Link To Document :
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