Bernard, Jürgen ; Brase, Jan ; Fellner, Dieter W. ; Koepler, Oliver ; Kohlhammer, Jörn ; Ruppert, Tobias ; Schreck, Tobias ; Sens, Irina (2010):
A Visual Digital Library Approach for Time-Oriented Scientific Primary Data.
In: Lecture Notes in Computer Science (LNCS); 6273, pp. 352-363, Springer, Berlin, Heidelberg, New York, Research and Advanced Technology for Digital Libraries, DOI: 10.1007/978-3-642-15464-5₃₅,
[Conference or Workshop Item]
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 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.
Item Type: | Conference or Workshop Item |
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Erschienen: | 2010 |
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 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. |
Series Name: | Lecture Notes in Computer Science (LNCS); 6273 |
Publisher: | Springer, Berlin, Heidelberg, New York |
Uncontrolled Keywords: | Forschungsgruppe Visual Search and Analysis (VISA), Forschungsgruppe Semantic Models, Immersive Systems (SMIS), Visual analytics, Visual search interfaces, Content based retrieval, Cluster analysis |
Divisions: | 20 Department of Computer Science 20 Department of Computer Science > Interactive Graphics Systems |
Event Title: | Research and Advanced Technology for Digital Libraries |
Date Deposited: | 12 Nov 2018 11:16 |
DOI: | 10.1007/978-3-642-15464-5₃₅ |
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