To: | Ontology Summit 2014 discussion <ontology-summit@xxxxxxxxxxxxxxxx> |
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From: | Amanda Vizedom <amanda.vizedom@xxxxxxxxx> |
Date: | Sat, 1 Feb 2014 15:04:20 -0500 |
Message-id: | <CAEmngXscKw6UNqejNE-TqHceBq3ZwqQi5VEpGzzQUEoK0F26FQ@xxxxxxxxxxxxxx> |
David, It seems to me that the problem you raise is an artifact of your particular approach, which ignores the fact that the ontology language in question distinguishes labels-for-humans from labels-for-machines. You want to use the latter for the purposes of the former, and then complain that it doesn't work. And your supposed solution will work if all of the human understand the phrases you choose, and understand them the same way. Even within the same language, that's rare; it's sure doesn't work across languages, business units, or time. On the other hand, multiple, properly lexicalized labels and a UI smart enough to use them are regularly used to make things understood and findable by individual users, across all three. In Enterprise applications, in non-academic settings, and beyond.
Your proposed solution - as best I can tell, to choose one target set of humans and make the (meant for machine consumption) URIs (or even names!) understandable to them, while ignoring the polysemy-tolerant, built-for-natural-language labeling features of the ontology language, is inherently antithetical to reuse (including use over time).
Best, Amanda On Sat, Feb 1, 2014 at 2:44 PM, David Price <dprice@xxxxxxxxxxxxxxx> wrote:
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