From MARC silos to Linked Data silos : Free DCMI / ASIS&T Joint Webinar

 

This webinar is an extended, in-depth version of the SWIB16 conference presentation ”From MARC silos to Linked Data silos?”

Date: February 28, 2017

Time: 10:00am – 11:15am EST (World Clock: http://bit.ly/2017-Suominen)

Minimum Participant Experience Level: Basic familiarity of bibliographic metadata and Linked Data assumed

Free for: DCMI / ASIST&T members 

After registering you will receive a confirmation email containing information about joining the Webinar. After the webinar broadcast, you will have unlimited access to the recorded presentation.

If you are not already a DCMI member, join now and get the webinar for free. Please note that processing of your membership application takes a minimum of 48-72 hours.

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ABOUT THE WEBINAR:

Many libraries are experimenting with publishing their metadata as Linked Data to open up bibliographic silos - usually based on MARC records - to the Web.

The libraries which have published Linked Data have all used different data models for structuring their bibliographic data. Some are using a FRBR-based model where Works, Expressions and Manifestations are represented separately. Others have chosen basic Dublin Core, dumbing down their data into a lowest common denominator format.

The proliferation of data models limits the reusability of bibliographic data. In effect, libraries have moved from MARC silos to Linked Data silos of incompatible data models. There is currently no universal model for how to represent bibliographic metadata as Linked Data, even though many attempts for such a model have been made.

In this webinar, you’ll see:

  • a survey of published bibliographic Linked Data, the data models proposed for representing bibliographic data as RDF, and tools used for conversion from MARC records; 
  • an analysis of different use cases for bibliographic Linked Data and how they affect the data model; 
  • recommendations for choosing a data model.

Efforts at the National Library of Finland to open up our bibliographic metadata will also be presented. This will include:

  • the national bibliography Fennica;
  • the national discography Viola and
  • the article database Arto,

as Linked Data while trying to learn from the examples of others.

A conversion process from MARC records to BIBFRAME and Schema.org compliant RDF will be presented. In particular, these records will be published as Linked Data using various technologies including a SPARQL endpoint, HDT compressed RDF dumps and a Linked Data Fragments API.

More information: From MARC Silos to Linked Data silos? 

 


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