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Scan-to-XML: Using software Component Algebra for intelligent document generation

Identifieur interne : 000784 ( PascalFrancis/Corpus ); précédent : 000783; suivant : 000785

Scan-to-XML: Using software Component Algebra for intelligent document generation

Auteurs : Bart Lamiroy ; Laurent Najman

Source :

RBID : Pascal:03-0333798

Descripteurs français

English descriptors

Abstract

The main objective of this paper is to experiment a new approach to develop a high level document analysis platform by composing existing components from a comprehensive library of state-of-the art algorithms. Starting from the observation that document analysis is conducted as a layered pipeline taking syntax as an input, and producing semantics as an output on each layer, we introduce the concept of a Component Algebra as an approach to integrate different existing document analysis algorithms in a coherent and self-containing manner. Based on XML for data representation and exchange on the one side, and on combined scripting and compiled libraries on the other side, our claim is that this approach can eventually lead to a universal representation for real world document analysis algorithms. The test-case of this methodology consists in the realization of a fully automated method for generating a browsable, hyper-linked document from a simple scanned image. Our example is based on cutaway diagrams. Cutaway diagrams present the advantage of containing simple "browsing semantics", in the sense that they consist of a clearly identifiable legend containing index references, plus a drawing containing one or more occurrences of the same indices.

Notice en format standard (ISO 2709)

Pour connaître la documentation sur le format Inist Standard.

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A11 01  1    @1 LAMIROY (Bart)
A11 02  1    @1 NAJMAN (Laurent)
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A12 02  1    @1 YOUNG-BIN KWON @9 ed.
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Format Inist (serveur)

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ET : Scan-to-XML: Using software Component Algebra for intelligent document generation
AU : LAMIROY (Bart); NAJMAN (Laurent); BLOSTEIN (Dorothea); YOUNG-BIN KWON
AF : LORIA - INPL / Projet QGAR, Campus scientifique - B.P. 239/54506 Vandœuvre-lès-Nancy/France (1 aut.); Océ Print Logic Technologies SA / CCR Department, 1, rue Jean Lemoine - BP 113/94015 Créteil/France (2 aut.); Laboratoire A2SI, Groupe ESIEE, Cité Descartes, BP99/93162 Noisy-le-Grand/France (2 aut.)
DT : Publication en série; Congrès; Niveau analytique
SO : Lecture notes in computer science; ISSN 0302-9743; Allemagne; Da. 2002; Vol. 2390; Pp. 211-221; Bibl. 13 ref.
LA : Anglais
EA : The main objective of this paper is to experiment a new approach to develop a high level document analysis platform by composing existing components from a comprehensive library of state-of-the art algorithms. Starting from the observation that document analysis is conducted as a layered pipeline taking syntax as an input, and producing semantics as an output on each layer, we introduce the concept of a Component Algebra as an approach to integrate different existing document analysis algorithms in a coherent and self-containing manner. Based on XML for data representation and exchange on the one side, and on combined scripting and compiled libraries on the other side, our claim is that this approach can eventually lead to a universal representation for real world document analysis algorithms. The test-case of this methodology consists in the realization of a fully automated method for generating a browsable, hyper-linked document from a simple scanned image. Our example is based on cutaway diagrams. Cutaway diagrams present the advantage of containing simple "browsing semantics", in the sense that they consist of a clearly identifiable legend containing index references, plus a drawing containing one or more occurrences of the same indices.
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LO : INIST-16343.354000108481260180
ID : 03-0333798

Links to Exploration step

Pascal:03-0333798

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   |clé=     Pascal:03-0333798
   |texte=   Scan-to-XML: Using software Component Algebra for intelligent document generation
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