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Leveraging Print to Enhance Electronic Access: Panel Wisdom

Join experts in exploring the transition from print to electronic information, discussing advantages, challenges, and practical applications in legal data access. Discover how to optimize browsing, scanning, and searching capabilities for improved user experience. Learn how to harness linked open data and machine learning to enhance information discovery and efficiency. Don't miss this insightful discussion on bridging traditional and digital information landscapes.

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Leveraging Print to Enhance Electronic Access: Panel Wisdom

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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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