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| 15 | Rich Data? Poor Data? | September 4, 20131
Rich Data? Poor Data? Depends on…
Lars G. Svensson
Libraries and other cultural heritage
institutions have high-quality data
| 15 | Rich Data? Poor Data? | September 4, 20132
Metadata specialists are convinced that
this data could make (web) search better
| 15 | Rich Data? Poor Data? | September ...
Linked data is about connecting silos
(but those silos are not the problem…)
| 15 | Rich Data? Poor Data? | September 4, 2...
| 15 | Rich Data? Poor Data? | September 4, 20135
… they are just a proxy for another set
of silos (the model ones)
Fotovo...
And that puts the burden on the
consumer (making them less prone to
use our data)
| 15 | Rich Data? Poor Data? | September...
We need to talk about models, not only
about formats
| 15 | Rich Data? Poor Data? | September 4, 20137
PhotobyWonderlane(C...
The model underlying the GND (and thus
the GNDO) is entity-based
| 15 | Rich Data? Poor Data? | September 4, 20138
• Corpo...
For bibliographic resources we currently
have no model (but a common German AP!)
| 15 | Rich Data? Poor Data? | September ...
We can have several models for different
use cases or communities (and expressed
in different formats/syntaxes)
| 15 | Ric...
OWL/RDF reasoning can take care of
semantic granularity only if the models
are compatible enough
| 15 | Rich Data? Poor Da...
So is the solution to build another great
model?
| 15 | Rich Data? Poor Data? | September 4, 201312
PhotobyThangarajKumara...
We don‘t need one great model, but
several small ones (those we can turn)
| 15 | Rich Data? Poor Data? | September 4, 2013...
After all connecting is about the
connectors (and we can do it better)
| 15 | Rich Data? Poor Data? | September 4, 201314
...
Don‘t let the cloud obstruct the sun!
| 15 | Rich Data? Poor Data? | September 4, 201315
LinkingOpenDataclouddiagram,byRic...
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Rich Data? Poor Data? Depends on...

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A presentation at the workshop "Rich and loonely or poor and popular?" at the Dublin Core conference in Lisbon on September 4th, 2013. The main hypothesis is that when publishing (linked) data, the main criteria should not be richness and poorness, but suitability for purpose, granularity and adherence to agreed-on models.

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Transcript of "Rich Data? Poor Data? Depends on..."

  1. 1. | 15 | Rich Data? Poor Data? | September 4, 20131 Rich Data? Poor Data? Depends on… Lars G. Svensson
  2. 2. Libraries and other cultural heritage institutions have high-quality data | 15 | Rich Data? Poor Data? | September 4, 20132
  3. 3. Metadata specialists are convinced that this data could make (web) search better | 15 | Rich Data? Poor Data? | September 4, 20133 There it is! WOW! PhotobyWendtCommons(CCBY):http://www.flickr.com/photos/wendt-library/5190902316/
  4. 4. Linked data is about connecting silos (but those silos are not the problem…) | 15 | Rich Data? Poor Data? | September 4, 20134 FotovonDocSearls(CCBY): http://www.flickr.com/photos/docsearls/5500714140/ DNB OCLCBLBnF
  5. 5. | 15 | Rich Data? Poor Data? | September 4, 20135 … they are just a proxy for another set of silos (the model ones) FotovonDocSearls(CCBY): http://www.flickr.com/photos/docsearls/5500714140/ MARC 21 FRBR Bib- Frame UNI MARC
  6. 6. And that puts the burden on the consumer (making them less prone to use our data) | 15 | Rich Data? Poor Data? | September 4, 20136 LinkingOpenDataclouddiagram,byRichardCyganiakandAnjaJentzsch.http://lod-cloud.net/
  7. 7. We need to talk about models, not only about formats | 15 | Rich Data? Poor Data? | September 4, 20137 PhotobyWonderlane(CCBY):http://www.flickr.com/photos/wonderlane/4632879976/
  8. 8. The model underlying the GND (and thus the GNDO) is entity-based | 15 | Rich Data? Poor Data? | September 4, 20138 • Corporate Body • Conference or Event • Subject Heading • Work • Place or Geographic Name • Family • Person
  9. 9. For bibliographic resources we currently have no model (but a common German AP!) | 15 | Rich Data? Poor Data? | September 4, 20139 <rdf:Description rdf:about="http://d-nb.info/870009036"> <rdf:type rdf:resource="http://purl.org/ontology/bibo/Document" /> <dcterms:medium rdf:resource="http://rdvocab.info/termList/RDACarrierType/1044" <owl:sameAs rdf:resource="http://hub.culturegraph.org/resource/DNB-870009036" <bibo:isbn10>3887456335</bibo:isbn10> <dc:identifier>(OColc)74784457</dc:identifier> <dc:title>Das Handbuch für IBM PC und Kompatible</dc:title> <dcterms:creator rdf:resource="http://d-nb.info/gnd/111166799" /> <rda:placeOfPublication>Düsseldorf</rda:placeOfPublication> <rda:placeOfPublication>Berkeley</rda:placeOfPublication> <rda:placeOfPublication>Paris</rda:placeOfPublication> <dc:publisher>Sybex</dc:publisher> <rda:publicationStatement>Paris : Sybex, 1986</rda:publicationStatement> <isbd:P1053>332 S.</isbd:P1053> <dcterms:subject rdf:resource="http://d-nb.info/gnd/4026436-1" /> <dcterms:issued>1986</dcterms:issued> </rdf:Description>
  10. 10. We can have several models for different use cases or communities (and expressed in different formats/syntaxes) | 15 | Rich Data? Poor Data? | September 4, 201310 Thing (It doesn‘t have to be like this…) Somehow related to * *
  11. 11. OWL/RDF reasoning can take care of semantic granularity only if the models are compatible enough | 15 | Rich Data? Poor Data? | September 4, 201311 http://dossierdoc.typepad.com/.a/6a00d83452993c69e201287698b9ff970c-popup
  12. 12. So is the solution to build another great model? | 15 | Rich Data? Poor Data? | September 4, 201312 PhotobyThangarajKumaravel(CCBY):http://www.flickr.com/photos/kumaravel/8152974246/
  13. 13. We don‘t need one great model, but several small ones (those we can turn) | 15 | Rich Data? Poor Data? | September 4, 201313 PhotobyJohnDrinkwater(CCBYNC-SA):http://www.flickr.com/photos/john-r-d/6537399443/
  14. 14. After all connecting is about the connectors (and we can do it better) | 15 | Rich Data? Poor Data? | September 4, 201314 Photosbyyuankuei(CCBY-NC-ND):http://www.flickr.com/photos/please/184275309/;http://www.flickr.com/photos/please/184276064/; http://www.flickr.com/photos/please/184277156/;http://www.flickr.com/photos/please/184277063/
  15. 15. Don‘t let the cloud obstruct the sun! | 15 | Rich Data? Poor Data? | September 4, 201315 LinkingOpenDataclouddiagram,byRichardCyganiakandAnjaJentzsch.http://lod-cloud.net/
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