Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.12015/2413
Title: Context grabbing: Assigning metadata in large document collections
Authors: Hinrichs, Joachim
Pipek, Volkmar
Wulf, Volker
Issue Date: 2005
Publisher: Springer, London
metadata.dc.relation.ispartof: ECSCW 2005: Proceedings of the Ninth European Conference on Computer-Supported Cooperative Work
metadata.mci.reference.pages: 367-386
Series/Report no.: ECSCW
Abstract: Classification schemes are an important issue in the collective use of large document collections. We have investigated the classification of technical documentations in two engineering domains: a steel mill and a sewerage plant company. In both cases we found a coexistence of different classification schemes and problems resulting from distributed local archives. In supporting human actors to maintain different classifications schemes while working on a common archive, we developed the concept of context grabbing. It allows assigning context information efficiently in the form of metadata. Based on a document management system, a tool kit for context grabbing was developed. Its evaluation in a sewerage service company allows us to comment on important aspects of understanding the role of classifications in collaborative work.
metadata.dc.identifier.doi: 10.1007/1-4020-4023-7_19
URI: https://hdl.handle.net/20.500.12015/2413
ISBN: 978-1-4020-4023-8
metadata.mci.conference.sessiontitle: Full Papers
metadata.mci.conference.location: Paris, France
metadata.mci.conference.date: 18–22 September 2005
Appears in Collections:ECSCW 2005: Proceedings of the Ninth European Conference on Computer-Supported Cooperative Work

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