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PREMIS Tools and Services

PREMIS Tools and Services. Rebecca Guenther Network Development & MARC Standards Office, Library of Congress rgue@loc.gov. NDIIPP Partners Meeting July 21, 2010. Outline of presentation. PREMIS in METS Toolbox (PiM) Authorities and vocabularies web service (id.loc.gov).

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PREMIS Tools and Services

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  1. PREMIS Tools and Services Rebecca Guenther Network Development & MARC Standards Office, Library of Congress rgue@loc.gov NDIIPP Partners Meeting July 21, 2010

  2. Outline of presentation • PREMIS in METS Toolbox (PiM) • Authorities and vocabularies web service (id.loc.gov) NDIIPP Partners Meeting

  3. PREMIS in METS toolbox • Developed by Florida Center for Library Automation under contract with LC • A set of open-source tools to support the implementation of PREMIS especially in the METS container format • 3 components: validate, convert, describe • Source code being made available: http://pimtoolbox.sourceforge.net NDIIPP Partners Meeting

  4. Describe: uses the DAITSS description service <premis> <ext></premis> /a/real/file droid/jhove

  5. Convert: between PREMIS and PREMIS in METS OR PREMIS in METS to PREMIS <mets> <premis></mets> <premis/> xslt

  6. Validate:PREMIS in METS document confirmation orerrors <mets> <premis/></mets> Schematron

  7. Demo: http://pim.fcla.edu/ Audio file: http://lcweb2.loc.gov/diglib/ihas/loc.natlib.ihas.200150574/default.html http://lcweb2.loc.gov/natlib/ihas/service/sousa/200150574/0001.mp3 PDF file: describe demo.pdf Image: http://lcweb2.loc.gov/diglib/ihas/loc.natlib.gottlieb.09601/default.html NDIIPP Partners Meeting

  8. Authorities and vocabularies web service • id.loc.gov • Makes LC owned and maintained authorities vocabularies available as Linked Data • Allows both human-oriented and programmatic access to LC-promulgated authorities and vocabularies. • First offering was LCSH; later additional vocabularies added • Search and download available NDIIPP Partners Meeting

  9. Why establish controlled vocabularies? • Control values that occur in metadata • Reduce ambiguity • Control synonyms • Document and publish for reuse • Test and validate terms • Establish formal relationships among terms (where appropriate) • Includes enumerated values in schemas, formal thesauri, code lists, etc. NDIIPP Partners Meeting

  10. Standards maintained at LC that contain controlled vocabularies • LCSH/NAF • Thesaurus of Graphic Materials • MARC Code lists: GACs, countries, languages • ISO 639-2 and ISO 639-5 (language codes) • Other MARC controlled lists • Enumerated lists in XML schemas • MODS enumerated values • METS enumerated values • MIX (Technical metadata for digital still images) • PREMIS controlled vocabularies • Others… NDIIPP Partners Meeting

  11. Simple Knowledge Organization System (SKOS) • RDF application used to express knowledge organization systems such as thesauri, taxonomies and the concepts within. • SKOS has a defined element set which is particularly relevant for controlled vocabularies • Relationships between concepts in a concept scheme can be expressed (e.g. broader, narrower) and between concepts in different schemes • Having a dereferencable URI for concepts and their concept schemes enhances the ability to provide web services for consumers of these standards NDIIPP Partners Meeting

  12. “Linked Data” • A feature of the “Semantic Web” where links are made between resources • Goes beyond hypertext links (i.e. between web pages) but between any kind of object or concept • From Wikipedia: "a term used to describe a method of exposing, sharing, and connecting data via dereferenceable URIs on the Web” • Users can use links to find similar resources and aggregate results • Interaction between data relies on URIs NDIIPP Partners Meeting

  13. Reasons for developing a web service for vocabularies • Facilitate development and maintenance process for vocabularies • Make controlled lists openly available • Provide comprehensive information about controlled terms • Experiment with semantic web technologies and linked data • Expose vocabularies to wider communities NDIIPP Partners Meeting

  14. URIs in id.loc.gov • Interaction with any given individual term and vocabulary is with its URI • Some examples of URIs: http://id.loc.gov/vocabulary/relators/art http://id.loc.gov/vocabulary/graphicMaterials/tgm005222 http://id.loc.gov/vocabulary/preservationEvents/migration http://id.loc.gov/authorities/sh85063136 • Known-label searches: use when you know the label but not the identifier http://id.loc.gov/vocabulary/relators/label/artist http://id.loc.gov/authorities/label/hunting%20dogs NDIIPP Partners Meeting

  15. Technical infrastructure • Django (Python) • LCSH • MySQL • SKOS RDF generated at time of request • Operates, more or less, as traditional relational DB • MARC mapped to relational DB tables • Everything else • RDFlib (Python library, uses MySQL as triplestore) • Runs on triples • XML to SKOS RDF/XML before ingest • XSL, Xquery used NDIIPP Partners Meeting

  16. Next steps • MADS OWL Schema to enable identification of facets e.g. Aeronautics--Soviet Union—History • Enhance existing vocabularies to show relationships • Broader/narrower relator terms • Matches to other vocabulary terms (e.g. MARC vs. ISO 3166 country codes) • Add new vocabularies • PREMIS controlled vocabularies • MARC country, geographic area, languages • ISO 639-2 and 639-5 • Name authorities • Enhance PiM to validate PREMIS vocabulary terms NDIIPP Partners Meeting

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