What characterizes pictures and text?
Identifieur interne :
000034 ( PascalFrancis/Corpus );
précédent :
000033;
suivant :
000035
What characterizes pictures and text?
Auteurs : Michael A. R. BiggsSource :
-
Literary and linguistic computing [ 0268-1145 ] ; 2004.
RBID : Pascal:05-0465010
Descripteurs français
English descriptors
Abstract
This paper addresses an apparently trivial question: what is the difference between graphics and text? It appears to be trivial because there would seem to be several alternative and simple ways of answering it. For example, 'text is made up of letters whereas graphics are not', 'one can create text using a keyboard', 'one can read text aloud', etc. However, none of these provides robust conditions to differentiate graphics from text, e.g. cases such as typewriter art and gobbledygook can be identified. The paper approaches the problem of identifying content conditions by analysing boundary cases which lie on the margins and are difficult to classify. It considers examples that arise in the production of materials, including bitmapped text, graphics consisting of letters and words, text used as patterns or in tables, etc. It also considers examples that arise from the consumption of materials, including a comparison of the methods used for reading and interpreting text and graphics. This paper concludes that current XML (eXtensible Markup Language) specifications, e.g. TEI (Text Encoding Initiative) guidelines, for the integration of graphics into text are primarily made on the basis of form rather than content. This is incompatible with a content-based or descriptive markup scheme. Before such guidelines can be modified we must be clearer about what differentiates graphics from text in terms of content conditions rather than technological or formal conditions.
Notice en format standard (ISO 2709)
Pour connaître la documentation sur le format Inist Standard.
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A03 | | 1 | | @0 Lit. linguist. comput. |
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A06 | | | | @2 3 |
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A08 | 01 | 1 | ENG | @1 What characterizes pictures and text? |
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A09 | 01 | 1 | ENG | @1 Eighth Digital Resources for the Humanities (DRH) Conference 2003 |
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A11 | 01 | 1 | | @1 BIGGS (Michael A. R.) |
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A12 | 01 | 1 | | @1 BERNARD (Lou) @9 ed. |
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A12 | 02 | 1 | | @1 CHILDS (Peter) @9 ed. |
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A14 | 01 | | | @1 University of Hertfordshire @3 GBR @Z 1 aut. |
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A20 | | | | @1 265-272 |
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A21 | | | | @1 2004 |
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A23 | 01 | | | @0 ENG |
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A43 | 01 | | | @1 INIST @2 23967 @5 354000120183890020 |
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A44 | | | | @0 0000 @1 © 2005 INIST-CNRS. All rights reserved. |
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A45 | | | | @0 15 ref. |
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A47 | 01 | 1 | | @0 05-0465010 |
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A64 | 01 | 1 | | @0 Literary and linguistic computing |
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C01 | 01 | | ENG | @0 This paper addresses an apparently trivial question: what is the difference between graphics and text? It appears to be trivial because there would seem to be several alternative and simple ways of answering it. For example, 'text is made up of letters whereas graphics are not', 'one can create text using a keyboard', 'one can read text aloud', etc. However, none of these provides robust conditions to differentiate graphics from text, e.g. cases such as typewriter art and gobbledygook can be identified. The paper approaches the problem of identifying content conditions by analysing boundary cases which lie on the margins and are difficult to classify. It considers examples that arise in the production of materials, including bitmapped text, graphics consisting of letters and words, text used as patterns or in tables, etc. It also considers examples that arise from the consumption of materials, including a comparison of the methods used for reading and interpreting text and graphics. This paper concludes that current XML (eXtensible Markup Language) specifications, e.g. TEI (Text Encoding Initiative) guidelines, for the integration of graphics into text are primarily made on the basis of form rather than content. This is incompatible with a content-based or descriptive markup scheme. Before such guidelines can be modified we must be clearer about what differentiates graphics from text in terms of content conditions rather than technological or formal conditions. |
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C02 | 01 | X | | @0 001A01G03 |
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C02 | 02 | X | | @0 205 |
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C03 | 01 | X | FRE | @0 Texte @5 01 |
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C03 | 01 | X | SPA | @0 Texto @5 01 |
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C03 | 02 | X | FRE | @0 Donnée textuelle @5 02 |
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C03 | 02 | X | ENG | @0 Textual data @5 02 |
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C03 | 02 | X | SPA | @0 Dato textual @5 02 |
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C03 | 03 | X | FRE | @0 Représentation graphique @5 03 |
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C03 | 03 | X | ENG | @0 Graphics @5 03 |
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C03 | 03 | X | SPA | @0 Grafo (curva) @5 03 |
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C03 | 04 | X | FRE | @0 Interprétation @5 04 |
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C03 | 04 | X | ENG | @0 Interpretation @5 04 |
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C03 | 04 | X | SPA | @0 Interpretación @5 04 |
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C03 | 05 | X | FRE | @0 Caractérisation @5 05 |
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C03 | 05 | X | ENG | @0 Characterization @5 05 |
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C03 | 05 | X | SPA | @0 Caracterización @5 05 |
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C03 | 06 | X | FRE | @0 Description @5 06 |
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C03 | 06 | X | ENG | @0 Description @5 06 |
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C03 | 06 | X | SPA | @0 Descripción @5 06 |
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C03 | 09 | X | FRE | @0 TEI (Text Encoding Initiative) @2 NI @4 INC @5 27 |
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pR |
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Format Inist (serveur)
NO : | PASCAL 05-0465010 INIST |
ET : | What characterizes pictures and text? |
AU : | BIGGS (Michael A. R.); BERNARD (Lou); CHILDS (Peter) |
AF : | University of Hertfordshire/Royaume-Uni (1 aut.) |
DT : | Publication en série; Congrès; Niveau analytique |
SO : | Literary and linguistic computing; ISSN 0268-1145; Royaume-Uni; Da. 2004; Vol. 19; No. 3; Pp. 265-272; Bibl. 15 ref. |
LA : | Anglais |
EA : | This paper addresses an apparently trivial question: what is the difference between graphics and text? It appears to be trivial because there would seem to be several alternative and simple ways of answering it. For example, 'text is made up of letters whereas graphics are not', 'one can create text using a keyboard', 'one can read text aloud', etc. However, none of these provides robust conditions to differentiate graphics from text, e.g. cases such as typewriter art and gobbledygook can be identified. The paper approaches the problem of identifying content conditions by analysing boundary cases which lie on the margins and are difficult to classify. It considers examples that arise in the production of materials, including bitmapped text, graphics consisting of letters and words, text used as patterns or in tables, etc. It also considers examples that arise from the consumption of materials, including a comparison of the methods used for reading and interpreting text and graphics. This paper concludes that current XML (eXtensible Markup Language) specifications, e.g. TEI (Text Encoding Initiative) guidelines, for the integration of graphics into text are primarily made on the basis of form rather than content. This is incompatible with a content-based or descriptive markup scheme. Before such guidelines can be modified we must be clearer about what differentiates graphics from text in terms of content conditions rather than technological or formal conditions. |
CC : | 001A01G03; 205 |
FD : | Texte; Donnée textuelle; Représentation graphique; Interprétation; Caractérisation; Description; Langage description; Balisage (document); TEI (Text Encoding Initiative) |
ED : | Text; Textual data; Graphics; Interpretation; Characterization; Description; Description language; Markup |
SD : | Texto; Dato textual; Grafo (curva); Interpretación; Caracterización; Descripción; Lenguaje descripción; Etiqueta |
LO : | INIST-23967.354000120183890020 |
ID : | 05-0465010 |
Links to Exploration step
Pascal:05-0465010
Le document en format XML
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