[annotations][2b2k] Rob Sanderson on annotating digitized medieval manuscripts
Current Berkman People and Projects 2013-03-28
Rob Sanderson [twitter:@azaroth42] of Los Alamos is talking about annotating Medieval manuscripts.
NOTE: Live-blogging. Getting things wrong. Missing points. Omitting key information. Introducing artificial choppiness. Over-emphasizing small matters. Paraphrasing badly. Not running a spellpchecker. Mangling other people’s ideas and words. You are warned, people.
He says many Medieval manuscripts are being digitized. The Mellon Foundation is funding many such projects. But these have tended to reinvent the same tech, and have not been designed for interoperability with other projects. So the Digital Medieval Initiative was founded, with a long list of prestigious partners. They thought about what they’d like: distributed, linked data, interoperable, etc. For this they need a shared description format.
The traditional approach is annotate an image of a page. But it can be very difficult to know which images to annotate; he gives as an example a page that has fold-outs. “The naive assuption is that an image equals a page.” But there may be fragments, or only portions of the page have been digitized (e.g., the illuminations), etc. There may be multiple images on a page, revealed by multi-spectral imaging. There may be multiple orientations of the page, etc.
The solution? The canvas paradigm. A canvas is an empty space corresponding to the rectangle (or whatever) of the page. You allow rich resources to be associated with it, and allow users to comment. For this, they use Open Annotation. You can specify a choice of images. You can associate text with an area of the canvas. There are lots of different ways to visualize those comments: overlays, side-by-side, etc.
You can build hybrid pages. For example, and old scan might have a new color scan of its illustrations pointing at it. Or you could have a recorded performance of a piece of music pointing at the musical notation.
In summary, the SharedCanvas model uses open standards (HTML 5, Open Annotation, TEI, etc.) and can be implement distributed across reporsitories, encouraging engagement by domain experts.