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TileBars: Visualization of Term Distribution Information in Full Text Information Access (1995)
| Citations: | 341 - 10 self |
BibTeX
@MISC{Hearst95tilebars:visualization,
author = {Marti A. Hearst},
title = {TileBars: Visualization of Term Distribution Information in Full Text Information Access},
year = {1995}
}
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Abstract
The field of information retrieval has traditionally focused on textbases consisting of titles and abstracts. As a consequence, many underlying assumptions must be altered for retrieval from full-length text collections. This paper argues for making use of text structure when retrieving from full text documents, and presents a visualization paradigm, called TileBars, that demonstrates the usefulness of explicit term distribution information in Boolean-type queries. TileBars simultaneously and compactly indicate relative document length, query term frequency, and query term distribution. The patterns in a column of TileBars can be quickly scanned and deciphered, aiding users in making judgments about the potential relevance of the retrieved documents. KEYWORDS: Information retrieval, Full-length text, Visualization. INTRODUCTION Information access systems have traditionally focused on retrieval of documents consisting of titles and abstracts. As a consequence, the underlying assumpt...
Keyphrases
full text information access term distribution information information retrieval query term distribution retrieved document indicate relative document length underlying assumpt query term frequency many underlying assumption boolean-type query text structure potential relevance full text document full-length text explicit term distribution information visualization paradigm full-length text collection introduction information access system
