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A Visual Digital Library Approach for Time-Oriented Scientific Primary Data

Bernard, Jürgen and Brase, Jan and Fellner, Dieter W. and Koepler, Oliver and Kohlhammer, Jörn and Ruppert, Tobias and Schreck, Tobias and Sens, Irina (2010):
A Visual Digital Library Approach for Time-Oriented Scientific Primary Data.
Springer, Berlin, Heidelberg, New York, In: Research and Advanced Technology for Digital Libraries, In: Lecture Notes in Computer Science (LNCS); 6273, 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
Erschienen: 2010
Creators: Bernard, Jürgen and Brase, Jan and Fellner, Dieter W. and Koepler, Oliver and Kohlhammer, Jörn and Ruppert, Tobias and Schreck, Tobias and 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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