Visual Search in Research Data

Due to technical advances in acquisition, processing and storage of primary research data, in domains such as Meteorology, Earth Observation, and Climate Simulation, increasing amounts of primary research data are collected. Data sets being of high value for current and future research are already often stored and made available by data center organizations, and are indexed by scientific libraries. While these trends improve the transparency and availability of scientific research data, access to these data sets is to date mainly based on metadata information. The goal of this project is to research content-based visual search and presentation techniques for user-friendly accessing and exploration of large collections of time-oriented research data sets. The aim is together with established metadata-based access methods to improve the overall accessibility of the indexed data sets. To this end, concepts such as a visual cataloguing and query-by-example and -sketch will be developed for collections of scientific time series. A specific challenge is seen in the appropriate combination of content- and metadata-based searching modalities.

Contact: Tatiana von Landesberger,Maximilian Scherer

Grant by: the Leibniz Gemeinschaft under the SAW program.

Collaboration partners: German National Library of Science and Technology (TIB) and Fraunhofer Institute for Computer Graphics Research.

Data repository: PANGAEA® – Data Publisher for Earth & Environmental Science.

Data type: Time-oriented research data, provided by the Baseline Surface Radiation Network (BSRN).


TimeSeriesPaths: Projection-Based Explorative Analysis of Multivarate Time Series Data.

J. Bernard, J Wilhelm, M. Scherer, T. May and T. Schreck

In: Proc. Int. Conference in Central Europe on Computer Graphics, Visualization and Computer Vision,2012

A Benchmark for Content-Based Retrieval in Bivariate Data Collections.

M. Scherer, T. von Landesberger and T. Schreck

In: Proc. Int. Conference on Theory and Practice of Digital Libraries, to appear, 2012

Guided Discovery of Interesting Relationships Between Time-Series Clusters and Metadata Properties.

J. Bernard, T. Ruppert, M. Scherer, T. Schreck and J. Kohlhammer

In: Proc. Int. Conference on Knowledge Management and Knowledge Technologies, Special Track on Theory and Applications of Visual Analytics, ACM ICPS, to appear, 2012.

Content-Based Layouts for Exploratory Metadata Search in Scientific Research Data.

J. Bernard, T. Ruppert, M. Scherer, J. Kohlhammer and T. Schreck

In: Proc. ACM/IEEE Joint Conference on Digital Libraries, pages 139-148, 2012.

A Visual Digital Library Approach for Time-Oriented Research Data

J. Bernard, J. Brase, D. Fellner, O. Koepler, J. Kohlhammer, T. Ruppert, T. Schreck, I. Sens

In: Proceedings of Springer International Journal of Digital Libraries, ECDL 2010 Special Issue, 2011.

Multiscale Visual Quality Assessment for Cluster Analysis with Self-Organizing Maps

J. Bernard, T. von Landesberger, S. Bremm, and T. Schreck

In: In IS&T/SPIE Conference on Visualization and Data Analysis, pages 78680N.1 – 78680N.12. SPIE Press, 2011

Micro-Macro Views for Visual Trajectory Cluster Analysis

J. Bernard, T. von Landesberber, S. Bremm, T. Schreck

In: IEEE Information Visualization, 2009

Visual cluster analysis of trajectory data with interactive kohonen maps

T. Schreck, J. Bernard, T. Von Landesberger, J. Kohlhammer

In: Information Visualization 8(1) 14 – 29, 2008