TileBars: visualization of term distribution information in full text information access
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
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VL '96 Proceedings of the 1996 IEEE Symposium on Visual Languages
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Information Visualization
IV '08 Proceedings of the 2008 12th International Conference Information Visualisation
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VAST '07 Proceedings of the 2007 IEEE Symposium on Visual Analytics Science and Technology
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ESWC'08 Proceedings of the 5th European semantic web conference on The semantic web: research and applications
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ACM Transactions on Intelligent Systems and Technology (TIST)
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The classic TileBars paradigm has been used to show distribution information of query terms in full-text documents. However, when used to show the distribution of a large number of entities of interest to users within a document, it hinders users' quick comprehension due to the inherent visual complexity problem. In this paper, we present a novel approach to improve the visual presentation of TileBars, in which barycenter heuristic for bigraph crossing minimization is used to reorder TileBars' elements. The reordered TileBars enables users to quickly and easily identify which entities appear in the beginning, end, or throughout a document. A user study has shown that the reordered TileBars can provide users with better focus and navigation while exploring text documents.