Context grabbing: assigning metadata in large document collections

  • Authors:
  • Joachim Hinrichs;Volkmar Pipek;Volker Wulf

  • Affiliations:
  • Institute for Information Management Bremen GmbH, Germany;International Institute for Socio-Informatics, Bonn, Germany and University of Oulu, Finland;University of Siegen and Fraunhofer FIT, Sankt Augustin, Germany

  • Venue:
  • ECSCW'05 Proceedings of the ninth conference on European Conference on Computer Supported Cooperative Work
  • Year:
  • 2005

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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.