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Subject: RE: A Library of Taxonomies [was Brass Tacks #2]
Briefly, I concur with Len. We have always, I believe, expected to see a whole collection of XML Schemata, and I have thought, (maybe wrongly?) that the RDF Schemata would be the collectors of the collections. And I have thought of the Schemata themselves as the Modules to which we have been referring, with each Module having a place in the overall Taxonomy. In that sense we have a lot of ground to cover and area to fill in. No shortage of tasks. Ciao, Rex At 11:46 AM -0500 8/27/01, Bullard, Claude L (Len) wrote: >I concur. Right now, we only have a few use cases. >I am not looking for application code, but the >properties that an application needs. > >The EMOTE example is revealing in that it uses a specific >set of parameters to feed the engine and these >are based on a high level metaphorical description >of movement. This *metaphorical* aspect is what >enables the observer to take observations and put >them into the system at a level which the human >observer can work with well. When looking at the >psychological theories, one sees a similar metaphorical >aspect: the observer is seldom actually measuring, >but filling in forms based on their estimates of >how the observation matches the metaphorical properties. >These are provided to the engine which then renders >the model based on the inputs. > >One might inquire what test is used to determine when a >model (the observation metaphor) is getting reasonable >results. Albeck could tell us how EMOTE is tested >for 'reasonableness' but I suspect it is feedback >by observation. Still, **the requirement to create a >metaphor whose qualities make it easier to observe >and/or record information that produces a reasonable >rendering seems to be the best and most useful test >for a HumanML candidate with the proviso that the >candidate may work itself by transformation to a >language such as EMOTE where possible.** > >Some use cases can result in languages that are reusable >because the metaphor of the language can be applied and >well understood in what otherwise seem to be different >domains. Scene/actor/speech metaphors are used for >creating plays/movies etc and also applied to user >interface design use cases (See Richard Due, et al). >It is simply a widely applied metaphor for communicating >systems. What would HumanML contribute to differentiate >these uses? Again, I return to an earlier post from >phase 0 on what does it mean to be human, then >what does it mean to be a human communicating in a >context. Perhaps we need a synopsis of each >of the domains we looked at thus far to precisely >define what they contribute. > >It has never occurred to me that we would create a >single unifying schema. It seems more likely that >we would create and refine by iteration multiple >descriptions and types and try to apply these as >you say to the application languages. A set of >URNs are one way to create families or simply, >mark out the domains. It is a tool, though, not a >solution per se. > > >Len >http://www.mp3.com/LenBullard > >Ekam sat.h, Vipraah bahudhaa vadanti. >Daamyata. Datta. Dayadhvam.h > <snip> -- Rex Brooks GeoAddress: 1361-A Addison, Berkeley, CA, 94702 USA, Earth W3Address: http://www.starbourne.com Email: rexb@starbourne.com Tel: 510-849-2309 Fax: By Request
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