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Converting ACM authors' articles to SGML
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Converting ACM authors' articles to SGML

Auteur: Bradley C Watson; Association for Computing Machinery.; OCLC. Office of Research.
Editie/Formaat:   Artikel : Document   Computerbestand : Engels
Publicatie:Annual review of OCLC research (Online) 1994
Database:WorldCat
Samenvatting:
The Association for Computing Machinery (ACM) has contracted with OCLC to provide an end-to-end electronic publishing system for their journal publications. This report focuses on the article conversion component, which converts accepted articles from the original format used by the author to Standard Generalized Markup Language (SGML), based on ACM's SGML Document Type Definition (DTD). The conversion component can  Meer lezen...
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Details

Genre: Document, Internetbron
Soort document: Artikel, Computerbestand, Internetbron
Alle auteurs / medewerkers: Bradley C Watson; Association for Computing Machinery.; OCLC. Office of Research.
OCLC-nummer: 54854498
Opmerkingen: Title from title screen (viewed Apr. 1, 2004).
Details: Mode of access: World Wide Web.
Verantwoordelijkheid: project manager, Bradley C. Watson.

Fragment:

The Association for Computing Machinery (ACM) has contracted with OCLC to provide an end-to-end electronic publishing system for their journal publications. This report focuses on the article conversion component, which converts accepted articles from the original format used by the author to Standard Generalized Markup Language (SGML), based on ACM's SGML Document Type Definition (DTD). The conversion component can work with documents in several word-processing and text-editing formats, including WordPerfect, MS Word, Framemaker, and LaTex, that originate on a variety of platforms, including DOS/Windows, Macintosh, OS/2, and Unix. The key transformations in the process are: (1) from the native format to Rich Text Format (RTF), and (2) from RTF to SGML. Exoterica Corporation's OMNIMARK programming language is used for the second step, while each word processor creates the RTF files.

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Gekoppelde data


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