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Automatic Extraction of Business Logic from Digital Documents

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Part of the book series: Advances in Intelligent Systems and Computing ((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.

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References

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Correspondence to Paweł Pieniążek .

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© 2015 Springer International Publishing Switzerland

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Pieniążek, P. (2015). Automatic Extraction of Business Logic from Digital Documents. In: Choraś, R. (eds) Image Processing & Communications Challenges 6. Advances in Intelligent Systems and Computing, vol 313. Springer, Cham. https://doi.org/10.1007/978-3-319-10662-5_20

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  • DOI: https://doi.org/10.1007/978-3-319-10662-5_20

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-10661-8

  • Online ISBN: 978-3-319-10662-5

  • eBook Packages: EngineeringEngineering (R0)

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