A visual digital library approach for time-oriented scientific primary data

  • Authors:

  • Jürgen Bernard;Jan Brase;Dieter Fellner;Oliver Koepler;Jörn Kohlhammer;Tobias Ruppert;Tobias Schreck;Irina Sens

  • Affiliations:

  • Technische Universität Darmstadt, Germany;German National Library of Science and Technology, Hannover, Germany;Technische Universität Darmstadt, Germany and Fraunhofer Institute for Computer Graphics Research, Darmstadt, Germany;German National Library of Science and Technology, Hannover, Germany;Technische Universität Darmstadt, Germany and Fraunhofer Institute for Computer Graphics Research, Darmstadt, Germany;Fraunhofer Institute for Computer Graphics Research, Darmstadt, Germany;Technische Universität Darmstadt, Germany;German National Library of Science and Technology, Hannover, Germany

  • Venue:
  • ECDL'10 Proceedings of the 14th European conference on Research and advanced technology for digital libraries
  • Year:
  • 2010

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Abstract

Digital Library support for textual and certain types of nontextual documents has significantly advanced over the last years. While Digital Library support implies many aspects along the whole library workflow model, interactive and visual retrieval allowing effective query formulation and result presentation are important functions. Recently, new kinds of non-textual documents which merit Digital Library support, but yet cannot be accommodated by existing Digital Library technology, have come into focus. Scientific primary data, as produced for example, by scientific experimentation, earth observation, or simulation, is such a data type. We report on a concept and first implementation of Digital Library functionality, supporting visual retrieval and exploration in a specific important class of scientific primary data, namely, time-oriented data. The approach is developed in an interdisciplinary effort by experts from the library, natural sciences, and visual analytics communities. In addition to presenting the concept and discussing relevant challenges, we present results from a first implementation of our approach as applied on a real-world scientific primary data set.