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Automatic Extraction of Business Logic from Digital Documents

  • Paweł Pieniążek
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 313)

Abstract

Executable papers have been attracting attention of scientific publishers, as they may improve validation of their content by reviewers. The paper reports on the ongoing research on making regular PDF file submissions executable without a need to build sophisticated Web systems and allowing authors to use their customary authoring tools. A unified approach has been developed to enable extraction of useful information from the digital PDF document, either scanned printouts or born-digital content and illustrated with experiments involving BPMN diagrams.

Keywords

Image Recognition Automatic Extraction Business Logic Hough Transform Authoring Tool 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Faculty of ETIGdansk University of TechnologyGdańskPoland

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