Just a quick note to let you all know that there is an experimental implementation of oai-ore running up at the Library of Congress in the Chronicling America application [1]. Chronicling America is the web view on data collected for the National Digital Newspaper Program (NDNP). NDNP is a 20-year joint project of the National Endowment for the Humanities and the Library of Congress to digitize and aggregate historic newspaper in the United States. Right now there are close to a million digitized newspaper pages available, and additionally there's also information about 140,000 newspaper titles.
This experimental implementation is really just us dipping our toes into the world of linked-data and using the oai-ore vocabulary to express various nested aggregations of objects: newspaper titles, issues, pages and batches of data sent from awardees. Since we were playing in the linked data space we chose to use rdf/xml directly instead of atom, but this is a moving target.
To give you a practical example of what's there, here are some HTML pages from which you ought to be able to follow your nose to the the resource map using auto-discovery:
Tite: San Francisco Call [2] Issue: San Francisco Call, 1895-03-05 [3] Page: San Francisco Call, 1895-03-05, page sequence 1 [4]
When you drill down to the page aggregation you'll see that it aggregates resources like the pdf for the page, an ocr xml file, an ocr text file, a thumbnail, and a jpeg200 file.
I imagine there are some glitches so please be gentle, but I would be interested in any feedback you have. Also please feel free to fire up your oai-ore bots.
> Just a quick note to let you all know that there is an experimental
> implementation of oai-ore running up at the Library of Congress in the
> Chronicling America application [1]. Chronicling America is the web
> view on data collected for the National Digital Newspaper Program
> (NDNP). NDNP is a 20-year joint project of the National Endowment for
> the Humanities and the Library of Congress to digitize and aggregate
> historic newspaper in the United States. Right now there are close to
> a million digitized newspaper pages available, and additionally
> there's also information about 140,000 newspaper titles.
> This experimental implementation is really just us dipping our toes
> into the world of linked-data and using the oai-ore vocabulary to
> express various nested aggregations of objects: newspaper titles,
> issues, pages and batches of data sent from awardees. Since we were
> playing in the linked data space we chose to use rdf/xml directly
> instead of atom, but this is a moving target.
> To give you a practical example of what's there, here are some HTML
> pages from which you ought to be able to follow your nose to the the
> resource map using auto-discovery:
> Tite: San Francisco Call [2]
> Issue: San Francisco Call, 1895-03-05 [3]
> Page: San Francisco Call, 1895-03-05, page sequence 1 [4]
> When you drill down to the page aggregation you'll see that it
> aggregates resources like the pdf for the page, an ocr xml file, an
> ocr text file, a thumbnail, and a jpeg200 file.
> I imagine there are some glitches so please be gentle, but I would be
> interested in any feedback you have. Also please feel free to fire up
> your oai-ore bots.
> Just a quick note to let you all know that there is an experimental
> implementation of oai-ore running up at the Library of Congress in the
> Chronicling America application [1]. Chronicling America is the web
> view on data collected for the National Digital Newspaper Program
> (NDNP). NDNP is a 20-year joint project of the National Endowment for
> the Humanities and the Library of Congress to digitize and aggregate
> historic newspaper in the United States. Right now there are close to
> a million digitized newspaper pages available, and additionally
> there's also information about 140,000 newspaper titles.
> This experimental implementation is really just us dipping our toes
> into the world of linked-data and using the oai-ore vocabulary to
> express various nested aggregations of objects: newspaper titles,
> issues, pages and batches of data sent from awardees. Since we were
> playing in the linked data space we chose to use rdf/xml directly
> instead of atom, but this is a moving target.
> To give you a practical example of what's there, here are some HTML
> pages from which you ought to be able to follow your nose to the the
> resource map using auto-discovery:
> Tite: San Francisco Call [2]
> Issue: San Francisco Call, 1895-03-05 [3]
> Page: San Francisco Call, 1895-03-05, page sequence 1 [4]
> When you drill down to the page aggregation you'll see that it
> aggregates resources like the pdf for the page, an ocr xml file, an
> ocr text file, a thumbnail, and a jpeg200 file.
> I imagine there are some glitches so please be gentle, but I would be
> interested in any feedback you have. Also please feel free to fire up
> your oai-ore bots.
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