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Include Page
LD4L 2014 Archive Message
LD4L 2014 Archive Message

 

This page is a stub that we will fill in during the remainder of the project. Much of the technical work of LD4L is being done on github in public repositories under https://github.com/ld4l, specific repositories are highlighted below.

Search Demonstration

Datasets

Note that all data is based on catalog snapshots from Cornell, Harvard and Stanford taken in early 2016. These datasets are not being updated to keep in sync with the source catalogs.

Hydra framework

  • ActiveTriples - an ActiveModel-like interface for RDF data (contributions toward the framework)
    • active_triples-local_name - a ruby gem that provides utilities for working with local names under the ActiveTriples framework. Includes a default implementation of a local name minter that produces a UUID for the id portion of the rdf_subject.
    • active_triples-solrizer - a ruby gem that provides a default solr implementation under the ActiveTriples framework.
  • Ruby on Rails support for virtual collections a
    • Rails engine providing a user interface for creating and manipulating virtual collections and items
  • ld4l/open_annotation_rdf - an Open Annotation RDF implementation Gema ruby gem that provides tools for modeling annotations based on the Open Annotation ontology and persisting to a triplestore.
  • ld4l/ore_rdf - a ruby gem that provides tools for modeling list triples based on the ORE ontology and persisting to a triplestore (Limited to non-ordered lists.)
  • ld4l/foaf_rdf - a ruby gem that provides tools for modeling person triples based on the FOAF ontology and persisting to a triplestore.  (Limited to Person and Agent classes.)
  • ld4l/works_rdf - ruby gem that provides content negotiation, metadata extraction, and normalization of resource metadata for inclusion in ORE aggregations representing the list of items in a Virtual Collection.  Currently supports extraction from marcxml, schema ontology, and vivo ontology as implemented at Cornell, Stanford, OCLC, and Cornell VIVO.

Analyses of catalog and related data sources

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LD4L ontology

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