Content-based layouts for exploratory metadata search in scientific research data
Proceedings of the 12th ACM/IEEE-CS joint conference on Digital Libraries
A benchmark for content-based retrieval in bivariate data collections
TPDL'12 Proceedings of the Second international conference on Theory and Practice of Digital Libraries
Visual-interactive querying for multivariate research data repositories using bag-of-words
Proceedings of the 13th ACM/IEEE-CS joint conference on Digital libraries
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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.