- From: Christopher Welty <welty@us.ibm.com>
- Date: Wed, 10 May 2006 10:53:11 -0400
- To: public-rif-wg@w3.org
Allen & David, This was posted on the public comments site. Seems like an interesting use case, very webby, and could be viewed as driving an interchange with XSL or something. Comments? -Chris From: Al Gilman <Alfred.S.Gilman@IEEE.org> Date: Wed, 29 Mar 2006 16:13:31 -0500 Message-Id: <p06110404c04734aafc61@[10.0.1.2]> To: public-rif-comments@w3.org Comment on RIF Use Cases and Requirement http://www.w3.org/2005/rules/wg/ucr/draft-20060323 In the WAI we have long struggled with how web media could better serve those with disbilities that interfere with reading. http://www.w3.org/WAI/PF/usage/languageUsageAndAccess.html At the moment I am focused on a narrower objective -- isolating best practice techniques for meeting Success Criterion 3.1.3 of WCAG 2.0 (Work in Progress) http://www.w3.org/WAI/GL/WCAG20/WD-UNDERSTANDING-WCAG20-20060317/Overview.html#meaning-idioms One general plan for how to clarify these things is to have some sort of a gloss or 'interpretation sheet' with interpretation rules. I say 'rules' because one doesn't want to mark all occurrences of a clarified term, but would prefer to isolate them with some sort of a selector expression. http://lists.w3.org/Archives/Public/wai-xtech/2004Aug/0007.html A rough hack at a rule format for this would be an XSL fragment that matches some pattern of markup such as <span class="term oed:refuse_1">refuse</span> and has a right-hand side that injects some RDF/A with SKOS terms to the effect that when the oed:refuse_1 token is present in the bag of class tokens, one should interpret the term as defined in http://www.askoxford.com/concise_oed/refuse_1 This has the right sort of functionality, but it lacks your expertise in the range of rule languages and the best way to fit into a community of interoperable rule utterances. Would the RIF WG consider that this is a use case which is under-served at present and should be included in the RIF Use Case collection? Or if you believe that there is stable prior art that works the problem well, what would you suggest that is? Al Dr. Christopher A. Welty, Knowledge Structures Group IBM Watson Research Center, 19 Skyline Dr., Hawthorne, NY 10532 Voice: +1 914.784.7055, IBM T/L: 863.7055, Fax: +1 914.784.7455 Email: welty@watson.ibm.com Web: http://www.research.ibm.com/people/w/welty/
Received on Wednesday, 10 May 2006 16:46:52 UTC