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Rhetorical relationships between ima...

Marsh, Emily Elizabeth.

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Rhetorical relationships between images and text in Web pages.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Rhetorical relationships between images and text in Web pages./
Author:	Marsh, Emily Elizabeth.
Description:	357 p.
Notes:	Source: Dissertation Abstracts International, Volume: 64-01, Section: A, page: 0011.
Contained By:	Dissertation Abstracts International64-01A.
Subject:	Library Science. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3078324
ISBN:	0493989048

Rhetorical relationships between images and text in Web pages.
Marsh, Emily Elizabeth.

Rhetorical relationships between images and text in Web pages. - 357 p.

Source: Dissertation Abstracts International, Volume: 64-01, Section: A, page: 0011.

Thesis (Ph.D.)--University of Maryland College Park, 2002.

This study examined the ways images relate to text and fulfill rhetorical functions in Web pages. Secondary topics were the physical nature of image-text pairs and their relevance relationships, and a demonstration of Reader-Response Theory for analyzing illustrated text. Its findings should interest both the users and designers of electronic documents. Retrieval and display systems using illustration functions could 1. Reveal the presence and position of image-text relationships in documents, 2. Describe their nature, and 3. Provide an overall sense of a document's conceptual structure to facilitate informed decisions about its quality and usefulness.

ISBN: 0493989048Subjects--Topical Terms:

881164
Library Science.

Rhetorical relationships between images and text in Web pages.
LDR:03268nmm 2200325 4500 001 1854616
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035 $a (UnM)AAI3078324
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040 $a UnM $c UnM
100 1 $a Marsh, Emily Elizabeth. $3 1942448
245 1 0 $a Rhetorical relationships between images and text in Web pages.
300 $a 357 p.
500 $a Source: Dissertation Abstracts International, Volume: 64-01, Section: A, page: 0011.
500 $a Chair: Dagobert Soergel.
502 $a Thesis (Ph.D.)--University of Maryland College Park, 2002.
520 $a This study examined the ways images relate to text and fulfill rhetorical functions in Web pages. Secondary topics were the physical nature of image-text pairs and their relevance relationships, and a demonstration of Reader-Response Theory for analyzing illustrated text. Its findings should interest both the users and designers of electronic documents. Retrieval and display systems using illustration functions could 1. Reveal the presence and position of image-text relationships in documents, 2. Describe their nature, and 3. Provide an overall sense of a document's conceptual structure to facilitate informed decisions about its quality and usefulness.
520 $a Dissection of forty-five of the most popular home pages from three genres (educational pages for children, newspapers, and retailers) resulted in 954 discrete image-text pairs. An original three-faceted typology of over 40 illustration functions was then applied. The three facets were: (A) Functions expressing little relation to text, (B) Those expressing a close relation, and (C) Those going beyond the text. Three-quarters of all pairs displayed one or more A functions and B functions; only one quarter of the pairs used one or more of the C functions.
520 $a Web authors use images to carry out relatively complex rhetorical programs. Distinct patterns of illustration functions were seen for each of the three genres and were analyzed in light of the specific goals and audiences of each document type. Pairs in the educational pages worked to attract and motivate their young readers while also illustrating the meaning of text (A and B functions). Newspapers and the retail sites used the same strategy, but relied much more heavily on the B functions alone. The quantitative analysis showed the educational pages to contain the most and the largest images of all the genres. Newspapers used the smallest and fewest number of images, with the largest image-to-text ratio. Retail pages used images more often than newspapers, linked to fewer text segments, and placed closest to text.
520 $a Other findings on relevance relationships between images and text, images as rhetorical figures, and ways to apply literary analysis to image-text relationships were analyzed on the basis of their conceptual significance and potential for application.
590 $a School code: 0117.
650 4 $a Library Science. $3 881164
650 4 $a Design and Decorative Arts. $3 1024640
650 4 $a Computer Science. $3 626642
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690 $a 0389
690 $a 0984
710 2 0 $a University of Maryland College Park. $3 1249734
773 0 $t Dissertation Abstracts International $g 64-01A.
790 1 0 $a Soergel, Dagobert, $e advisor
790 $a 0117
791 $a Ph.D.
792 $a 2002
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3078324