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

Bernard, Jürgen and Ruppert, Tobias and Scherer, Maximilian and Kohlhammer, Jörn and Schreck, Tobias (2012):
Content-Based Layouts for Exploratory Metadata Search in Scientific Research Data.
ACM, New York, In: JCDL 2012. Proceedings, DOI: 10.1145/2232817.2232844, [Conference or Workshop Item]

Abstract

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.

Item Type: Conference or Workshop Item
Erschienen: 2012
Creators: Bernard, Jürgen and Ruppert, Tobias and Scherer, Maximilian and Kohlhammer, Jörn and Schreck, Tobias
Title: Content-Based Layouts for Exploratory Metadata Search in Scientific Research Data
Language: English
Abstract:

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.

Publisher: ACM, New York
Uncontrolled Keywords: Forschungsgruppe Visual Search and Analysis (VISA), Business Field: Visual decision support, Research Area: Generalized digital documents, Information visualization, Exploratory search, Similarity measures, Scientific research data
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Interactive Graphics Systems
Event Title: JCDL 2012. Proceedings
Date Deposited: 12 Nov 2018 11:16
DOI: 10.1145/2232817.2232844
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