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
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