To: | Ontology Summit 2014 discussion <ontology-summit@xxxxxxxxxxxxxxxx> |
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From: | Amanda Vizedom <amanda.vizedom@xxxxxxxxx> |
Date: | Sat, 1 Feb 2014 18:59:26 -0500 |
Message-id: | <CAEmngXtwukiuF3Sea26urs=Vm4fU4GkO8cT0vMMLZLTZCCke-w@xxxxxxxxxxxxxx> |
On Sat, Feb 1, 2014 at 6:01 PM, Ali SH <asaegyn+out@xxxxxxxxx> wrote:
In my experience, that just isn't true. Ignore that examples of really long and confusing identifiers have been thrown around, here. Much shorter and simpler character strings can be used for IDs within an ontology. Sure, use namespaces or other mechanism to localize to the particular ontology (or microtheory, or ...?); that's great. 6 hexadecimal char strings, for example, are well within the capability of most coders to compare. I am relatively poor at number and non-word recall, and I found one such system, quite large, to be easy to work with. Did I memorize what concepts each of these strings corresponded to? No; whether I was working on the ontology directly, browsing it, looking stuff up in it, querying, developing pattern-matching code that used the ontology, debugging weird test results from and indexing run, or what have you, the hex code ID could (usually was, by default) shown *with* a pref label for my language. Folks working in extending the French lexicalization or doing QA testing for a francophone localization could have the default show pref label in (fr) or some localization thereof, for example. So I might see 4G61XS (dog) and Claude might see 4G61XS (chien) in the indexer results or while browsing the ontology. If we were developing rules or tests and couldn't remember the name of the concept we wanted was, I could search on "dog" and compare the returns (multiple, since labels aren't unique) to find the right one, and Claude could do the same searching on "chien." Both of us would be reminded and motivated to check the other "dog"/"chien" matches. In my experience, that apparent burden in fact results in a greater efficiency and accuracy; without that check, and with a suggestive name or label-only view, the rate at which people guess or assume and use the wrong one is high enough to cause a lot of extra work.
I understand, but I think it is mostly a tooling problem. The tools do not use the appropriate formal language features. Humans shouldn't be writing or debugging SPARQL queries with only the concept ID visible, whether it is opaque or suggestive. Either way, there is extra lookup (out of the cognitive task space) and a greater likelihood of error than is really tenable. Unfortunately, that is mostly the state of the art in open/COTS tools, but the way to fix it isn't to make the IDs more suggestive (and conducive to error); it's to make the tools use the human-oriented features of the language when interfacing with humans. BTW, I specified state of the art in *COTS* tools, because I've seen a number of proprietary tools, developed for use within an company only, that don't make this same error. I'm perpetually frustrated that we don't have the same level of tooling in the open-source or COTS worlds. But it is not a coincidence that the companies in question have done well in developing semantic enterprise or web systems with those ontologies as components. They take their ontologies, and the processes concerning them, rather seriously.
That's in between, I think. You will still have to look up which human-related concept that is, and to Claude or someone else they may be equally opaque. I still don't see the advantage over having an IDE, or parts thereof that (a) shows you a prefLabel along with ID, according to your settings.
True, but it is still the case that intelligible to some is opaque to others, and that suggestive often means giving rise to misuse. OWL has the built-in capabilities to give us precision and developer-appropriate language suggestions together. It's perfectly feasible to build efficient development tools that do so; one can even get a little fancier and connect tools to ontology to allow, for example, using the language part to look at alternatives without leaving the cognitive space. I know this is possible because I've used them. But the majority of tools, and all the open or COTS ones I know of, just haven't had this kind of Human/cognitive interface attention given to them.
I just don't think the solution is to treat the ontology language as more impoverished than it really is. We know there is far to go in improving tools, anyway. I'd say that one of the improvements should be to make tools that use the existing support for co-existing human-readability and machine-uniqueness.
Amanda
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