[Sigkm-l] DCMI Webinar: From MARC silos to Linked Data silos? Data models for bibliographic Linked Data

[DCMI Announce]

*******PLEASE EXCUSE THE CROSS-POSTING*******

*From MARC silos to Linked Data silos? Data models for bibliographic Linked
Data*

*DCMI/ASIS&T Joint Webinar*

*===========================================================*
*:: Presenter:* Osma Suominen
*:: Time:* 10:00am - 11:15am EST
   (UTC 15:00 - World Clock: http://bit.ly/suominen-2017)
*:: Date:* Tuesday, 28 February 2017
*:: Registration:* http://dublincore.org/resources/training/#2017suominen
*===========================================================*

*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 who 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.</p>

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

We also present efforts at the National Library of Finland to open up our
bibliographic metadata, including 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. We are setting up a
conversion process from MARC records to BIBFRAME and Schema.org compliant
RDF, which we are going to publish as Linked Data using various
technologies including a SPARQL endpoint, HDT compressed RDF dumps and a
Linked Data Fragments API.

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

*Minimum Experience Level: *

Basic familiarity of bibliographic metadata and Linked Data assumed


*ABOUT THE PRESENTER:*

*Osma Suominen* works as an information systems specialist at the National
Library of Finland. His current activities are centered around the
publishing of bibliographic data, including the Finnish national
bibliography Fennica, as Linked Data. He is also one of the creators of the
Finto.fi <http://finto.fi/> thesaurus and ontology service and is leading
development of the Skosmos vocabulary browser used in Finto. Osma Suominen
earned his doctoral degree at Aalto University while doing research on
semantic portals and quality of controlled vocabularies within the FinnONTO
series of projects. His past accomplishments include the Skosify vocabulary
analysis and quality improvement tool, and data.aalto.fi, the Linked Data
service of Aalto University.
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