mustyoshi / wikisourceify

Transform catoxml from deepbills project to richly-interlinked wikitext for wikisource

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Wikisourceify

(Francis Avila, April 2013)

Wikisourceify takes CatoXML-enhanced XML (US Congressional bill XML with semantic tagging extensions) from the Deepbills Cato project and produces hyperlinked Wikitext intended for publication on Wikisource.

Also contains crosswalks between government entity ID systems and Wikipedia pages.

The XML source and final built TXT files are also included in the repository.

Repo Contents

  • Makefile builds everything. (It requires xsltproc and Python to build anything.)
  • lookups contains lookup tables (produced by Cato interns) which map from common unique identifiers to corresponding Wikipedia pages. The source version is an excel spreadsheet, which is exported to a csv, which is processed by a Python script into an XML file. Includes crosswalks for:
    • Federal Bodies (e.g., agencies and bureaus) using NIST SP800-87 codes
    • Congressional committees
    • Federal Elective Officials (congressmen) using Bioguide IDs
    • Public Laws
  • xml contains the source CatoXML-enhanced XML (see the CatoXML namespace documentation).
  • wiki contains the target wikitext
  • scripts contains scripts
    • dumpxml.xq gets source XML from the deepbills BaseX database using XQuery
    • wikilookup.py is a Python script to produce the XML lookup tables
    • xml2wiki.xsl is an XSLT 1.0 script to produce the wikitext from the source XML. (It uses exslt's strings:tokenize extension, but otherwise is vanilla XSLT 1.0.)

How to Build

  1. First ensure you have source XML; bills the Cato interns have completed are included already. If you want the latest data run make xmlsource (requires you have a deepbills BaseX server running).
  2. make will build the lookup XML and the wiki/*.txt files. (This is easy and safe to parallelize with make -j 100.)
  3. make clean will remove wiki/*

About

Transform catoxml from deepbills project to richly-interlinked wikitext for wikisource


Languages

Language:XSLT 59.8%Language:Perl 34.8%Language:Python 3.5%Language:XQuery 1.8%