https://github.com/timclicks/okrand

A MARC21 to RDF converter
https://github.com/timclicks/okrand

Last synced: 3 days ago
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A MARC21 to RDF converter

• Host: GitHub
• URL: https://github.com/timclicks/okrand
• Owner: timClicks
• Created: 2011-09-12T02:22:22.000Z (over 13 years ago)
• Default Branch: master
• Last Pushed: 2011-09-13T03:02:40.000Z (over 13 years ago)
• Last Synced: 2025-01-19T11:15:17.476Z (7 days ago)
• Language: Python
• Homepage:
• Size: 104 KB
• Stars: 6
• Watchers: 3
• Forks: 2
• Open Issues: 4
• Metadata Files:
  • Readme: README

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README

        
okrand - a MARC21 to RDF converter 

about

=====

software

--------

This tool was originally used to convert the 

National Library of New Zealand's MARC21 

catalogue to RDF. It should be sufficiently 

generic to do the task for any MARC21 file.

The conversion process loses some data. If 

you know of an RDF vocabularly that matches 

MARC21 perfectly, please contact the author.

Once converted, your 

name

----

Marc Okrand invented Klingon. MARC21 seems 

like Klingon for computers.

dependencies

============

 

okrand depends on two libraries to do its

heavy lifting:

  RDFLib 

  pymarc 

Both can be installed via the command line

with pip or easy_install:

   $ pip install rdflib pymarc

   $ easy_install rdflib pymarc

usage

=====

No command line usage yet. Open up a Python

interpreter and run the main function.

By example

----------

1.  You want to parse catalog.mrc in memory:

    >>> import okrand     

    >>> graph = okrand.main('catalog.mrc')

2.  You want to parse a compressed 

    catalog.mrc.gz file and store the graph

    on disk so that it can be used by RDFlib:

    >>> okrand.main('catalog.mrc', 

    ...     store_type='Sleepycat', 

    ...     store_id='my_catalog',

    ...     graph_id='my_catalog',

    ...     gzipped=True)

    Note: store_id and graph_id are arbitrary, 

    but are strongly recommended for 

    disk-based stores. 

If you would like to serialize the graph, call 

you can do so from the resulting object:

    >>> graph.serialize('mycatalog.n3', 

    ...     format='n3')

licence

======

APGL v3.