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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 layoutdoi:10.1145/2232817.2232844 dblp:conf/jcdl/BernardRSKS12 fatcat:5pw6jrlrezgsxeyl44nsqtoor4