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  1. International Journal of Document Analysis and Recognition (IJDAR)
  2. International Journal of Document Analysis and Recognition (IJDAR) : Volume 3
  3. International Journal of Document Analysis and Recognition (IJDAR) : Volume 3, Issue 4, May 2001
  4. Leveraging corporate context within knowledge-based document analysis and understanding
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International Journal of Document Analysis and Recognition (IJDAR) : Volume 20
International Journal of Document Analysis and Recognition (IJDAR) : Volume 19
International Journal of Document Analysis and Recognition (IJDAR) : Volume 18
International Journal of Document Analysis and Recognition (IJDAR) : Volume 17
International Journal of Document Analysis and Recognition (IJDAR) : Volume 16
International Journal of Document Analysis and Recognition (IJDAR) : Volume 15
International Journal of Document Analysis and Recognition (IJDAR) : Volume 14
International Journal of Document Analysis and Recognition (IJDAR) : Volume 13
International Journal of Document Analysis and Recognition (IJDAR) : Volume 12
International Journal of Document Analysis and Recognition (IJDAR) : Volume 11
International Journal of Document Analysis and Recognition (IJDAR) : Volume 10
International Journal of Document Analysis and Recognition (IJDAR) : Volume 9
International Journal of Document Analysis and Recognition (IJDAR) : Volume 8
International Journal of Document Analysis and Recognition (IJDAR) : Volume 7
International Journal of Document Analysis and Recognition (IJDAR) : Volume 6
International Journal of Document Analysis and Recognition (IJDAR) : Volume 5
International Journal of Document Analysis and Recognition (IJDAR) : Volume 4
International Journal of Document Analysis and Recognition (IJDAR) : Volume 3
International Journal of Document Analysis and Recognition (IJDAR) : Volume 3, Issue 4, May 2001
In Memoriam: Jürgen Schürmann
Guest Editorial
Industrial bank check processing: the A2iA CheckReaderTM
Segmentation and recognition of Chinese bank check amounts
A computer-based system to support forensic studies on handwritten documents
Classification of document pages using structure-based features
Leveraging corporate context within knowledge-based document analysis and understanding
International Journal of Document Analysis and Recognition (IJDAR) : Volume 3, Issue 3, March 2001
International Journal of Document Analysis and Recognition (IJDAR) : Volume 3, Issue 2, December 2000
International Journal of Document Analysis and Recognition (IJDAR) : Volume 3, Issue 1, August 2000
International Journal of Document Analysis and Recognition (IJDAR) : Volume 2
International Journal of Document Analysis and Recognition (IJDAR) : Volume 1

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Leveraging corporate context within knowledge-based document analysis and understanding

Content Provider Springer Nature Link
Author Wenzel, Claudia Maus, Heiko
Copyright Year 2001
Abstract Knowledge-based systems for document analysis and understanding (DAU) are quite useful whenever analysis has to deal with the changing of free-form document types which require different analysis components. In this case, declarative modeling is a good way to achieve flexibility. An important application domain for such systems is the business letter domain. Here, high accuracy and the correct assignment to the right people and the right processes is a crucial success factor. Our solution to this proposes a comprehensive knowledge-centered approach: we model not only comparatively static knowledge concerning document properties and analysis results within the same declarative formalism, but we also include the analysis task and the current context of the system environment within the same formalism. This allows an easy definition of new analysis tasks and also an efficient and accurate analysis by using expectations about incoming documents as context information. The approach described has been implemented within the VOPR (VOPR is an acronym for the Virtual Office PRototype.) system. This DAU system gains the required context information from a commercial workflow management system (WfMS) by constant exchanges of expectations and analysis tasks. Further interaction between these two systems covers the delivery of results from DAU to the WfMS and the delivery of corrected results vice versa.
Starting Page 248
Ending Page 260
Page Count 13
File Format PDF
ISSN 14332833
Journal International Journal of Document Analysis and Recognition (IJDAR)
Volume Number 3
Issue Number 4
Language English
Publisher Springer-Verlag
Publisher Date 2001-05-01
Publisher Place Berlin Heidelberg
Access Restriction One Nation One Subscription (ONOS)
Content Type Text
Resource Type Article
Subject Computer Science Applications Computer Vision and Pattern Recognition Software
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