2016-01-19 18:17:12 +01:00
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libBMC
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======
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2016-01-20 23:18:13 +01:00
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## Presentation
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2016-01-19 18:17:12 +01:00
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A generic Python library to manage bibliography and play with scientific
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papers.
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_Note_: This library is written for Python 3 and may not work with Python 2.
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This is not a major priority for me, but if anyone needed to make it work with
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Python 2 and want to make a PR, I will happily merge it :)
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## Dependencies
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Python dependencies are listed in the `requirements.txt` file at the root of
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this repo, and can be installed with `pip install -r requirements.txt`.
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External dependencies are [OpenDeTeX](https://code.google.com/p/opendetex/)
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(an improved version of DeTeX) and the `pdftotext` and `djvutxt` programs.
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OpenDeTeX is available as a Git submodule in the `libbmc/external` folder. If
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you do not have it installed system-wide, you can use the following steps to
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build it in this repo and the library will use it:
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* `git submodule init; git submodule update` to initialize the Git submodules.
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* `cd libbmc/external/opendetex; make` to build OpenDeTeX (see `INSTALL` file
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in the same folder for more info, you will need `make`, `gcc` and `flex` to
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build it).
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OpenDeTeX is used to get references from a `.bbl` file (or directly from arXiv
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as it uses the same pipeline).
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`pdftotext` and `djvutxt` should be available in the packages of your
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distribution and should be installed systemwide. Both are used to extract
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identifiers from papers PDF files.
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If you plan on using the `libbmc.citations.pdf` functions, you should also
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install the matching software (`CERMINE`, `Grobid` or `pdf-extract`). See the
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docstrings of those functions for more infos on this particular point.
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2016-01-24 18:42:36 +01:00
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2016-01-25 17:56:34 +01:00
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## License
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This code is licensed under an MIT license.
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2016-01-24 18:42:36 +01:00
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## Acknowledgements
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Thanks a lot to the following authors and programs for helping in building
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this lib:
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* Dominika Tkaczyk, Pawel Szostek, Mateusz Fedoryszak, Piotr Jan Dendek and
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Lukasz Bolikowski.
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CERMINE: automatic extraction of structured metadata from scientific
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literature.
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In International Journal on Document Analysis and Recognition (IJDAR), 2015,
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vol. 18, no. 4, pp. 317-335, doi: 10.1007/s10032-015-0249-8.
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https://github.com/CeON/CERMINE
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* https://github.com/CrossRef/pdfextract
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* https://github.com/kermitt2/grobid
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* https://github.com/sciunto-org/python-bibtexparser
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* http://djvu.sourceforge.net/doc/man/djvutxt.html
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* http://www.foolabs.com/xpdf/home.html
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* https://code.google.com/p/opendetex/
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* https://github.com/nathangrigg/arxiv2bib/
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* https://github.com/xlcnd/isbnlib
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* https://github.com/Anorov/PySocks
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* http://docs.python-requests.org/en/latest/#
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