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Bringing the advantages of print to electronic

Explore the evolution of print to electronic information access in a panel discussion featuring industry experts. Learn how to leverage linked open data and machine learning to enhance search, browse, and scan functionalities, enabling efficient extraction and utilization of key legal data sources.

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Bringing the advantages of print to electronic

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  1. Bringing the advantages of print to electronic • Panel Discussion: Anne Washington, Sara Frug, John Joergensen, Christine Borgman • Print to electronic, a story • Sara S. Frug • Legal Information Institute • Cornell Law School

  2. + 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 )

  3. Linked Open Data Machine Learning Source: http://commons.wikimedia.org/wiki/File:LOD_Cloud_Diagram_as_of_September_2011.svg (CC-BY_SA; Author: Richard Cyganiak Anja Jentzsch) Source: http://en.wikipedia.org/wiki/File:Linear-svm-scatterplot.svg (CC-0; Author: Qwertyus) Where we started +

  4. What’s wrong with that? ≠

  5. What we did Finding Aids Index Mapping + Source: Casellas, N. Linked Open Legal Data: A SKOS Thesaurus for the Code of Federal Regulations Source: http://www.gpo.gov/help/parallel_table.pdf 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) Source: http://en.wikipedia.org/wiki/File:Linear-svm-scatterplot.svg (CC-0; Author: Qwertyus)

  6. Source: http://www.aphis.usda.gov/traceability/downloads/eartag_listing.pdf Source: http://www.gpo.gov/fdsys/pkg/CFR-2014-title9-vol1/pdf/CFR-2014-title9-vol1-sec86-4.pdf Which let us find 9 CFR § 86.4 APHIS information +

  7. 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

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