TileBars: Visualization of Term Distribution Information in Full Text Information Access

TileBars: Visualization of Term Distribution Information in Full Text Information Access (1995)

by Marti A. Hearst

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238 - 9 self

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Datum	Value	Source
TITLE	TileBars: Visualization of Term Distribution Information in Full Text Information Access	user correction - Legacy Corrections
AUTHOR NAME	Marti A. Hearst	SVM HeaderParse 0.1
AUTHOR AFFIL	Xerox Palo Alto Research Center	SVM HeaderParse 0.2
AUTHOR ADDR	3333 Coyote Hill Rd, Palo Alto, CA 94304	SVM HeaderParse 0.1
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...	user correction - Legacy Corrections
YEAR	1995	user correction - Legacy Corrections
CITATIONS	30 found	ParsCit 1.0