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Abstract
Born-digital PDF electronic documents might reasonably be expected to preserve useful data units of their source originals that suffice to produce executable papers for reproducible research. Unfortunately, developers of authoring tools may adopt arbitrary PDF generation strategies, producing a plethora of internal data representations. Such common information units as text paragraphs, tables, function graphs and flow diagrams, may require numerous heuristics to handle properly each vendor specific PDF file content. We propose a generic Reverse MVC interpretation pattern that enables to cope with that arbitrariness in a systematic way. It constitutes a component of a larger framework we have been developing for making executable papers out of PDF documents without injecting in the PDF file any extra data or code
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- Category:
- Articles
- Type:
- publikacja w in. zagranicznym czasopiśmie naukowym (tylko język obcy)
- Published in:
-
Journal of Advanced Management
no. 4,
pages 238 - 244,
ISSN: 2168-0787 - Title of issue:
- ICIME 2014 : 2014 6th International Conference on Information Management and Engineering strony 238 - 244
- Language:
- English
- Publication year:
- 2016
- Bibliographic description:
- Wiszniewski B., Siciarek J.. Extraction of information from born-digital PDF documents for reproducible research. Journal of Advanced Management, 2016, Vol. 4, iss. 3, s.238-244
- DOI:
- Digital Object Identifier (open in new tab) 10.12720/joams.4.3.238-244
- Bibliography: test
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- Verified by:
- Gdańsk University of Technology
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