- From: MacKenzie Smith <kenzie@MIT.EDU>
- Date: Mon, 22 Sep 2003 22:35:05 -0400
- To: www-rdf-dspace@w3.org
Hi all, Below are a few comments on the SIMILE demonstrator storyboard. -- I thought the idea for the demo was to use two collections of visual images (e.g. fine arts images) which have been described by two different communities -- researchers (using VRA Core) and instructors (using IMS) -- but each of which would be of value to the other community. In other words, it isn't the *intersection* of images of value to both, but that *all* images in each collection would be potentially useful to the other community. This seems unclear for the learning object collection. I assumed we would go after visual images that had been described with IMS (instead of VRA) because they were used in a class -- which is the case with the Japanese historical images used in Shigeru Miyagawa's course in OCW. The fact the the teaching images were used in courses is incidental. So, for example, where it says: "We will assume and focus further that the two corpori are photographic images of designed artifacts and course materials. The photographic images are described by high-quality VRA-Core metadata whereas the course materials are described by IMS metadata..." it might rather say: "We assume that the two collections are photographic images of designed artifacts. The images used for research are described by high quality VRA Core metadata, whereas the images used for teaching are described with IMS metadata..." I was *not* assuming that we would include other course materials than visual images which have a common subject with the images, as in the Wright example described. The issues and mapping sections are still quite valid in any case, and the specific examples are fine, so the only thing I would recommend improving is the intro section. I'd be happy to help with the wording if you like... MacKenzie/ MacKenzie Smith Associate Director for Technology MIT Libraries Building 14S-208 77 Massachusetts Avenue Cambridge, MA 02139 (617)253-8184 kenzie@mit.edu
Received on Monday, 22 September 2003 22:37:06 UTC