Winners of Second Library of Congress Legislative Data Challenge

The Law Library of Congress has announced the winners of the Second Library of Congress Legislative Data Challenge, on Legislative XML Data Mapping:

First prize goes to Jim Mangiafico for Akoma Ntoso Converter , which includes a functioning Web app and a Chrome extension.

Second prize goes to Garrett Schure for Translate U.K. and U.S legislative documents to Akoma Ntoso , consisting of a written analysis of “a Perl/LibXML mapping of U.K. and U.S. legislative documents, with a set of scripts to add additional semantic and analysis markup.”

Here is a description of the challenge:

[...] The Legislative XML Data Mapping Challenge invites competitors to produce a data map for US bill XML [i.e., the U.S. House XML Legislative Document Type Definitions, Schemas, and Samples] and the most recent Akoma Ntoso schema and UK bill XML [i.e., Crown Legislation Markup Language schema] and the most recent Akoma Ntoso schema. Gaps or issues identified through this challenge will help to shape the evolving Akoma Ntoso international standard. [...]

The judges of the challenge were:

• Kirsten Gullickson, U.S. House of Representatives


• Monica Palmirani of CIRSFID, University of Bologna


• John Sheridan of The National Archives (UK)


• Fabio Vitali of the University of Bologna

For more details, please see the announcement and the challenge Website.

HT @LawLibCongress

Filed under: Applications, Competitions, Technology developments, Technology tools Tagged: (John Sheridan, AKOMA NTOSO, Akoma Ntoso Converter, Akoma Ntoso mapping, Akoma Ntoso mapping applications, Akoma Ntoso mapping tools, Fabio Vitali, Garrett Schure, Jim Mangiafico, Kirsten Gullickson, Law Library of Congress, Legal metadata, Legal structural metadata, Legislative data challenge, Legislative data challenges, Legislative metadata, Legislative structural metadata, Legislative XML Data Mapping, Legislative XML Data Mapping Challenge, Library of Congress, Library of Congress legislative data challenge, Library of Congress legislative data challenges, Mapping from Crown Legislation Markup Language to Akoma Ntoso, Mapping from U.S. House XML to Akoma Ntoso, Mapping legal metadata, Mapping legislative metadata, Mapping legislative structural metadata, Mapping to Akoma Ntoso, Monica Palmirani, National Archives UK



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