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.
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Hinrichs, J., Pipek, V., Wulf, V. (2005). Context Grabbing: Assigning Metadata in Large Document Collections. In: Gellersen, H., Schmidt, K., Beaudouin-Lafon, M., Mackay, W. (eds) ECSCW 2005. Springer, Dordrecht. https://doi.org/10.1007/1-4020-4023-7_19
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DOI: https://doi.org/10.1007/1-4020-4023-7_19
Publisher Name: Springer, Dordrecht
Print ISBN: 978-1-4020-4022-1
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