Bernard, Jürgen ; Brase, Jan ; Fellner, Dieter W. ; Koepler, Oliver ; Kohlhammer, Jörn ; Ruppert, Tobias ; Schreck, Tobias ; Sens, Irina (2011):
A Visual Digital Library Approach for Time-Oriented Scientific Primary Data.
In: International Journal on Digital Libraries, 11 (2), pp. 111-123. DOI: 10.1007/s00799-011-0072-x,
[Article]
Abstract
Digital Library support for textual and certain types of non-textual 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 fully accommodated by existing Digital Library technology, have come into focus. Scientific data, as produced for example, by scientific experimentation, simulation or observation, is such a document type. In this article we report on a concept and first implementation of Digital Library functionality for supporting visual retrieval and exploration in a specific important class of scientific primary data, namely, time-oriented research 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 to discussing relevant challenges, we present results from a first implementation of our approach as applied on a real-world scientific primary data set. We also report from initial user feedback obtained during discussions with domain experts from the earth observation sciences, indicating the usefulness of our approach.
Item Type: | Article |
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Erschienen: | 2011 |
Creators: | Bernard, Jürgen ; Brase, Jan ; Fellner, Dieter W. ; Koepler, Oliver ; Kohlhammer, Jörn ; Ruppert, Tobias ; Schreck, Tobias ; Sens, Irina |
Title: | A Visual Digital Library Approach for Time-Oriented Scientific Primary Data |
Language: | English |
Abstract: | Digital Library support for textual and certain types of non-textual 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 fully accommodated by existing Digital Library technology, have come into focus. Scientific data, as produced for example, by scientific experimentation, simulation or observation, is such a document type. In this article we report on a concept and first implementation of Digital Library functionality for supporting visual retrieval and exploration in a specific important class of scientific primary data, namely, time-oriented research 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 to discussing relevant challenges, we present results from a first implementation of our approach as applied on a real-world scientific primary data set. We also report from initial user feedback obtained during discussions with domain experts from the earth observation sciences, indicating the usefulness of our approach. |
Journal or Publication Title: | International Journal on Digital Libraries |
Volume of the journal: | 11 |
Issue Number: | 2 |
Uncontrolled Keywords: | Forschungsgruppe Visual Search and Analysis (VISA), Forschungsgruppe Semantic Models, Immersive Systems (SMIS), Business Field: Digital society, Business Field: Visual decision support, Research Area: Generalized digital documents, Visual analytics, Visual search interfaces, Content based retrieval, Cluster analysis |
Divisions: | 20 Department of Computer Science 20 Department of Computer Science > Interactive Graphics Systems |
Date Deposited: | 12 Nov 2018 11:16 |
DOI: | 10.1007/s00799-011-0072-x |
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