Bringing the advantages of

print to electronicPanel Discussion: Anne Washington, Sara Frug, John Joergensen, Christine Borgman

Print to electronic, a storySara S. Frug

Legal Information Institute Cornell Law School

Source: http://commons.wikimedia.org/wiki/File:Walworth_Gate_010.jpg (CC BY 3.0; author: Storye book )

Source: http://commons.wikimedia.org/wiki/File:Walworth_Gate_010.jpg (CC BY-SA 3.0; author: Arcturus )

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Source: http://en.wikipedia.org/wiki/File:Linear-svm-scatterplot.svg (CC-0; Author: Qwertyus)

Machine Learning Linked Open Data

Source: http://commons.wikimedia.org/wiki/File:LOD_Cloud_Diagram_as_of_September_2011.svg

(CC-BY_SA; Author: Richard Cyganiak Anja Jentzsch)

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Where we started

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What’s wrong with that?

Source: http://en.wikipedia.org/wiki/File:Linear-svm-scatterplot.svg (CC-0; Author: Qwertyus)

Machine Learning Linked Open Data

Source: http://commons.wikimedia.org/wiki/File:LOD_Cloud_Diagram_as_of_September_201

1.svg (CC-BY_SA; Author: Richard Cyganiak Anja Jentzsch)

+Source: Casellas, N. Linked Open Legal Data: A SKOS Thesaurus for the Code of Federal Regulations

Index Mapping Finding Aids

What we did

Source: http://www.gpo.gov/help/parallel_table.pdf

Source: http://www.aphis.usda.gov/traceability/downloads/eartag_listing.pdf

Which let us find

Source: http://www.gpo.gov/fdsys/pkg/CFR-2014-title9-vol1/pdf/CFR-2014-title9-vol1-sec86-4.pdf

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9 CFR § 86.4 APHIS information

What we can do

•Consider not only "search" but also "browse" and "scan" use cases

•Model close to the data... so we don’t get stuck

•Capture the intellectual organization embedded in the indexes...

•Use it directly

•Use it as training data