Using Summaries to Search and Visualize Distributed Resources Addressing Spatial and Multimedia Features

• Published in: Datenbank-Spektrum : Zeitschrift für Datenbanktechnologie : Organ der Fachgruppe Datenbanken der Gesellschaft für Informatik e.V Vol. 16; no. 1; pp. 67 - 76
• Main Authors: Blank, Daniel, Henrich, Andreas, Kufer, Stefan
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.03.2016
• Subjects: Computer Science; Computer Systems Organization and Communication Networks; Data Mining and Knowledge Discovery; Data Structures and Information Theory; Database Management; Information Storage and Retrieval; IT in Business; Schwerpunktbeitrag; Big data summarization; Distributed metric and spatial access methods; Resource description and selection
• ISSN: 1618-2162; 1610-1995
• DOI: 10.1007/s13222-015-0210-5

Summarization is an important means to cope with the challenges of big data. Summaries can help to achieve a first overview, they can be used to characterize subsets, they allow for the targeted access to data, and they build the basis for visualization techniques. In the present article, we point out the role of summaries as well as potential application scenarios. As examples, summarization techniques for spatial data (as an example for specific low dimensional techniques) and for general metric spaces (as a generic example with a broad spectrum of applications) are described. Furthermore, their use for resource selection and resource visualization in large distributed scenarios is outlined.