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RDA Vocabularies Briefing
RDA Vocabularies Briefing
RDA Vocabularies Briefing
RDA Vocabularies Briefing
RDA Vocabularies Briefing
RDA Vocabularies Briefing
RDA Vocabularies Briefing
RDA Vocabularies Briefing
RDA Vocabularies Briefing
RDA Vocabularies Briefing
RDA Vocabularies Briefing
RDA Vocabularies Briefing
RDA Vocabularies Briefing
RDA Vocabularies Briefing
RDA Vocabularies Briefing
RDA Vocabularies Briefing
RDA Vocabularies Briefing
RDA Vocabularies Briefing
RDA Vocabularies Briefing
RDA Vocabularies Briefing
RDA Vocabularies Briefing
RDA Vocabularies Briefing
RDA Vocabularies Briefing
RDA Vocabularies Briefing
RDA Vocabularies Briefing
RDA Vocabularies Briefing
RDA Vocabularies Briefing
RDA Vocabularies Briefing
RDA Vocabularies Briefing
RDA Vocabularies Briefing
RDA Vocabularies Briefing
RDA Vocabularies Briefing
RDA Vocabularies Briefing
RDA Vocabularies Briefing
RDA Vocabularies Briefing
RDA Vocabularies Briefing
RDA Vocabularies Briefing
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RDA Vocabularies Briefing

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Presented Jan. 15, 2010 for the Technical Services 'Big Heads', as an introduction to the RDA Vocabularies and the opportunities provided by this different approach to data.

Presented Jan. 15, 2010 for the Technical Services 'Big Heads', as an introduction to the RDA Vocabularies and the opportunities provided by this different approach to data.

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  • After going through the slides, I feel we are getting close to a quantum leap and I do not know how to move from here ( marc records, subject headings, online catalog Horizontes) to there, We are opened to lib 2.o and using though we are moving into wikis, blogs, interactive web, podcasts, you tube, flicker......Soledad Ferreiro, Director Library of Congress Chile, www.bcn.cl
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  • 1. The Case for RDA Vocabularies <ul><li>Diane Hillmann, Jon Phipps </li></ul><ul><li>Metadata Management Associates </li></ul>1/15/2010 Big Heads briefing
  • 2. RDA in Two Parts <ul><li>You’ve heard about the guidance text </li></ul><ul><li>The vocabularies have been developed in parallel </li></ul><ul><ul><li>Agreement made in Apr./May 2007 for a Task Group to work on this </li></ul></ul><ul><ul><li>Vocabularies are up-to-date as of latest JSC changes </li></ul></ul>1/15/2010 Big Heads briefing
  • 3. They’re Here <ul><li>Please explore! </li></ul><ul><li>http://metadataregistry.org/rdabrowse.htm </li></ul>1/15/2010 Big Heads briefing
  • 4. Why are the Vocabularies Important? <ul><li>They provide a way for libraries to move from a limited, bespoke “format” and elderly encoding to a more modern approach to data creation, management, and sharing </li></ul><ul><li>They are open and usable by others, making re-use of non-library data easier for libraries to accomplish </li></ul>1/15/2010 Big Heads briefing
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  • 8. Why Not Just “Improve” MARC? <ul><li>MARC is optimized for records, and although some improvement is possible (and is happening), a complete overhaul is not feasible </li></ul><ul><ul><li>Too much change (i.e., “improvement”) is likely to make a transition more difficult </li></ul></ul><ul><ul><li>We need to re-think our approach to creating, managing, sharing metadata, not apply bandaids to 45-year-old standards </li></ul></ul>1/15/2010 Big Heads briefing
  • 9. What’s Going On Outside Libraries? <ul><li>Many more sources of good data becoming available </li></ul><ul><ul><li>Much of it is freely available, with links to even more sources </li></ul></ul><ul><li>NY Times is one of the newer entrants in this field, building links to enrich their own data in an similar environment of retrenchment </li></ul>1/15/2010 Big Heads briefing
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  • 12. We’re Not In This Picture <ul><li>With MARC, we’re currently “delivering:” </li></ul><ul><ul><li>Primarily textual information, with few or no links to follow </li></ul></ul><ul><ul><li>Information almost exclusively created and maintained by [expensive] human agents </li></ul></ul><ul><li>Currently, as we look at financial retrenchment, we are focusing on how to make our data less expensive by doing less of it </li></ul><ul><ul><li>Isn’t this a strategy designed to put us at the margins? </li></ul></ul>1/15/2010 Big Heads briefing
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  • 15. Moving Beyond Records <ul><li>Linked open data--enables conversations with the rest of the data world </li></ul><ul><ul><li>This data is independent of format, syntax and &quot;records&quot; (although can be aggregated for various uses) </li></ul></ul><ul><ul><li>May include “crowd-sourced” data (DBPedia or FreeBase) or data re-used from other sources </li></ul></ul>1/15/2010 Big Heads briefing
  • 16. ... To Statements <ul><li>The one book=one record world of MARC is a serious limitation </li></ul><ul><ul><li>Making use of FRBR also requires a new view of data management </li></ul></ul><ul><li>An RDF approach, based on statements rather than records, gives us a means to incorporate other sources of data and to do so using cheaper machine-based strategies </li></ul>1/15/2010 Big Heads briefing
  • 17. Why Invest in Change? <ul><li>We know our current way of creating and managing data is: </li></ul><ul><ul><li>Unsustainable in an environment of limited resources </li></ul></ul><ul><ul><li>Based on a notion of standard data that does not meet the needs of our users </li></ul></ul><ul><ul><li>Relies on expensive human effort </li></ul></ul>1/15/2010 Big Heads briefing
  • 18. The Vocabularies ... <ul><li>Built according to RDF Vocabulary standards, can be used in a variety of data environments </li></ul><ul><li>Based on library data experience </li></ul><ul><li>Intended to be attractive to the data world outside libraries, in hopes that they will use our vocabularies for their bibliographic description </li></ul><ul><ul><li>This would make re-use easier for us </li></ul></ul>1/15/2010 Big Heads briefing
  • 19. Richer, Cheaper Data? <ul><li>Data that is more easily manipulated and maintained by machine </li></ul><ul><li>Data that is created and maintained by someone else, but “good enough” to provide important functionality </li></ul><ul><li>Ex.: Geographic data, to support mapping applications </li></ul><ul><li>Ex.: Data to better support faceted searching and browsing </li></ul>1/15/2010 Big Heads briefing
  • 20. Real Example <ul><li>LC Chronicling American Project </li></ul><ul><ul><li>Building georeferencing into library data </li></ul></ul>1/15/2010 Big Heads briefing
  • 21. About this Newspaper: The Daytona Daily News <ul><li>HTML http://chroniclingamerica.loc.gov/lccn/sn93063916/ </li></ul><ul><li>RDF http://chroniclingamerica.loc.gov/lccn/sn93063916.rdf </li></ul><ul><li>MARC (HTML) http://chroniclingamerica.loc.gov/lccn/sn93063916/marc/ </li></ul><ul><li>MARC (XML) http://chroniclingamerica.loc.gov/lccn/sn93063916/marc.xml </li></ul><ul><li>WorldCat (HTML only?) http://www.worldcat.org/oclc/1631353 </li></ul>1/15/2010 Big Heads briefing
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  • 24. Un-Linked Data <ul><li>MARC21 has a naming convention for place names … 752 $a United States $b Florida $c Volusia $d Daytona Beach </li></ul><ul><li>Wikipedia also has a naming convention for place names … http://en.wikipedia.org/wiki/Daytona_Beach,_Florida </li></ul><ul><li>LC staffer created a little script to use the 752 hierarchy to build a Wikipedia URL and see if it would resolve as a URI from DBpedia… </li></ul>1/15/2010 Big Heads briefing
  • 25. Linked Data <ul><li>Dbpedia: <dcterms:coverage rdf:resource= http://dbpedia.org/resource/Daytona_Beach%2C_Florida /> </li></ul><ul><li>Geonames: <dcterms:coverage rdf:resource= http://sws.geonames.org/4152872/ /> </li></ul>1/15/2010 Big Heads briefing
  • 26. DBpedia <ul><li>Dbpedia is “a community effort to extract structured information from Wikipedia and to make this information available on the Web.” </li></ul>1/15/2010 Big Heads briefing
  • 27. 1/15/2010 Big Heads briefing
  • 28. 1/15/2010 Big Heads briefing
  • 29. DBpedia <ul><li>“The DBpedia knowledge base currently describes more than 2.6 million things, including at least… </li></ul><ul><li>213,000 persons </li></ul><ul><li>328,000 places </li></ul><ul><li>57,000 music albums </li></ul><ul><li>36,000 films </li></ul><ul><li>20,000 companies.” </li></ul>1/15/2010 Big Heads briefing
  • 30. Dbpedia (even more data) <ul><li>owl:sameAs </li></ul><ul><li>Rdfabout: The 2000 U.S. Census http://www.rdfabout.com/rdf/usgov/geo/us/fl/counties/volusia_county/daytona_beach </li></ul><ul><li>GeoNames http://sws.geonames.org/4152872/ </li></ul><ul><li>Freebase fbase:Daytona Beach, Florida </li></ul>1/15/2010 Big Heads briefing
  • 31. Interesting Questions <ul><li>There are hundreds, if not thousands of people tracking down place names in Wikipedia and making sure they are normalized and geo-referenced. </li></ul><ul><li>Is this crowd-sourced, Wikipedia data ‘authoritative’? </li></ul><ul><li>Is it ‘good enough’? </li></ul><ul><li>How different is this from the strategy that’s used for NACO? </li></ul>1/15/2010 Big Heads briefing
  • 32. More Questions <ul><li>Chronicling America’s data for the Daytona Beach Daily News references Dbpedia but there’s no corresponding reference to Chronicling America data in Dbpedia, even though there’s a ‘place’ where it could be referenced. </li></ul><ul><li>How do we make sure that happens? </li></ul><ul><li>Where’s the library data anyway? </li></ul>1/15/2010 Big Heads briefing
  • 33. Even More Questions <ul><li>DBpedia uses it’s own vocabulary for many statements, chooses to use skos:subject instead of dc:subject, foaf:name instead of dc:title. </li></ul><ul><li>Was there a specific reason for this choice? </li></ul><ul><li>Would there be value for us if they used more RDA properties instead? </li></ul>1/15/2010 Big Heads briefing
  • 34. How Do We Get From Here to There? <ul><li>Work with vendors to shift from MARC to RDA; from records to statements </li></ul><ul><li>Focus community effort on solid innovation rather than incremental shifts </li></ul><ul><li>Worry less about the costs of moving forward, and more about the costs of stasis </li></ul><ul><li>Support open sharing of library data! </li></ul>1/15/2010 Big Heads briefing
  • 35. The Elephants in the Room <ul><li>Record “ownership” as OCLC is attempting to enforce will not help libraries as they attempt to move forward </li></ul><ul><li>OCLC’s membership must reinforce an open model of record use and re-use, lest necessary innovation be stifled </li></ul><ul><li>LC’s R2 report recommends a backward facing strategy </li></ul><ul><ul><li>Given LC’s well-known (and well-respected) record for innovation, why is cataloging data exempt from consideration? </li></ul></ul>1/15/2010 Big Heads briefing
  • 36. What RDA Vocabularies Bring to the Table <ul><li>Readiness for participation in the open data world </li></ul><ul><li>Potential for automating more data capture to enrich library data without using expensive human resources, and sharing without artificial boundaries </li></ul><ul><li>Improved &quot;marketing&quot; of our collections (particularly digital and special collections) beyond the library world </li></ul>1/15/2010 Big Heads briefing
  • 37. Thank You! <ul><li>Questions? Comments? </li></ul><ul><li>Contact: </li></ul><ul><ul><li>[email_address] </li></ul></ul><ul><ul><li>[email_address] </li></ul></ul>1/15/2010 Big Heads briefing

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