Greenstone: a comprehensive open-source digital library software system
DL '00 Proceedings of the fifth ACM conference on Digital libraries
Automatically Analyzing and Organizing Music Archives
ECDL '01 Proceedings of the 5th European Conference on Research and Advanced Technology for Digital Libraries
On the Need for Time Series Data Mining Benchmarks: A Survey and Empirical Demonstration
Data Mining and Knowledge Discovery
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Enhancing digital libraries with TechLens+
Proceedings of the 4th ACM/IEEE-CS joint conference on Digital libraries
Enhancing access to research data: the challenge of crystallography
Proceedings of the 5th ACM/IEEE-CS joint conference on Digital libraries
Fedora: an architecture for complex objects and their relationships
International Journal on Digital Libraries
Content-based multimedia information retrieval: State of the art and challenges
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
An architecture for the aggregation and analysis of scholarly usage data
Proceedings of the 6th ACM/IEEE-CS joint conference on Digital libraries
Challenges in Visual Data Analysis
IV '06 Proceedings of the conference on Information Visualization
International Journal on Digital Libraries
Features for image retrieval: an experimental comparison
Information Retrieval
Exploratory Search
A descriptor for large scale image retrieval based on sketched feature lines
Proceedings of the 6th Eurographics Symposium on Sketch-Based Interfaces and Modeling
DelosDLMS - the integrated DELOS digital library management system
DELOS'07 Proceedings of the 1st international conference on Digital libraries: research and development
DBpedia: a nucleus for a web of open data
ISWC'07/ASWC'07 Proceedings of the 6th international The semantic web and 2nd Asian conference on Asian semantic web conference
Multimedia Information Retrieval
Multimedia Information Retrieval
Proceedings of the 11th annual international ACM/IEEE joint conference on Digital libraries
How to become a group leader? or modeling author types based on graph mining
TPDL'11 Proceedings of the 15th international conference on Theory and practice of digital libraries: research and advanced technology for digital libraries
TPDL'11 Proceedings of the 15th international conference on Theory and practice of digital libraries: research and advanced technology for digital libraries
DICON: Interactive Visual Analysis of Multidimensional Clusters
IEEE Transactions on Visualization and Computer Graphics
A visual digital library approach for time-oriented scientific primary data
International Journal on Digital Libraries - Focused Issue on ECDL 2010
Assisted descriptor selection based on visual comparative data analysis
EuroVis'11 Proceedings of the 13th Eurographics / IEEE - VGTC conference on Visualization
Guided discovery of interesting relationships between time series clusters and metadata properties
Proceedings of the 12th International Conference on Knowledge Management and Knowledge Technologies
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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Today's digital libraries (DLs) archive vast amounts of information in the form of text, videos, images, data measurements, etc. User access to DL content can rely on similarity between metadata elements, or similarity between the data itself (content-based similarity). We consider the problem of exploratory search in large DLs of time-oriented data. We propose a novel approach for overview-first exploration of data collections based on user-selected metadata properties. In a 2D layout representing entities of the selected property are laid out based on their similarity with respect to the underlying data content. The display is enhanced by compact summarizations of underlying data elements, and forms the basis for exploratory navigation of users in the data space. The approach is proposed as an interface for visual exploration, leading the user to discover interesting relationships between data items relying on content-based similarity between data items and their respective metadata labels. We apply the method on real data sets from the earth observation community, showing its applicability and usefulness.