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Context-aware Recommendation of Visualization Components

Authors:
Martin Voigt
Stefan Pietschmann
Lars Grammel
Klaus Meißner

Keywords: recommendation, visualization, ontology, mashups

Abstract:
Although many valuable visualizations have been developed to gain insights from large data sets, selecting an appropriate visualization for a specific data set and goal remains challenging for non-experts. In this paper, we propose a novel approach for knowledge-assisted, context-aware visualization recommendation. Both semantic web data and visualization components are annotated with formalized visualization knowledge from an ontology. We present a recommendation algorithm that leverages those annotations to provide visualization components that support the users' data and task. We successfully proved the practicability of our approach by integrating it into two research prototypes.

Pages: 101 to 109

Copyright: Copyright (c) IARIA, 2012

Publication date: January 30, 2012

Published in: conference

ISSN: 2308-4375

ISBN: 978-1-61208-181-6

Location: Valencia, Spain

Dates: from January 30, 2012 to February 4, 2012