Visualized Index-Based Search for Digital Libraries

Authors:
Jon Scott;Beomjin Kim;Sanyogita Chhabada
Affiliations:
Department of Computer Science, Indiana University-Purdue University, Fort Wayne, U.S.A.;Department of Computer Science, Indiana University-Purdue University, Fort Wayne, U.S.A.;Department of Computer Science, Indiana University-Purdue University, Fort Wayne, U.S.A.
Venue:
ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part I
Year:
2009

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Abstract

As the amount of available information continues to expand, traditional text-based searches for digital libraries and similar systems become increasingly cumbersome to the user. Selection of the best result calls upon the user to compare and contrast top results; this can involve investigative reading of each, to determine what quality and amount of the desired topic is present in each. This paper presents an alternative search strategy, utilizing visualization to relate detailed content information obtained through indexes. By providing such information in a visual manner, the aim is to reduce the burden of investigation placed upon in present systems.