RE: Issues with XML and Semantic Web ?
Yes, this is exactly right. Semantic Web is all about working with simple unitary ontologies and having software agents go at them. I don't think you are missing anything. One of the motivations for common "upper" ontologies is that you support the interoperability of your ontologies by maiking them all consistent with the UO. So this could be a solution, but I have difficulty believing in the feasibility of making this happen, although there are people who swear by it. I know of some work on reasoners that manage contexts, so that you don't have to import all of your foreign ontology to do reasoning, but this still has the issue of how one knows it is consistent when you do. Irene -----Original Message----- From: Michael Champion [mailto:michaelc.champion@g...] Sent: Tuesday, November 09, 2004 3:31 PM To: Irene Polikoff Cc: xml-dev@l... Subject: Re: Issues with XML and Semantic Web ? On Tue, 09 Nov 2004 15:09:19 -0500, Irene Polikoff <irene@t...> wrote: > > In theory, the modularity of ontology models should provide the > flexibility needed to accommodate different contexts. One could also > only reference/use part of an ontology - parts one can "agree with" - > without committing to the entire ontology. In practice, we are still > figuring out how this will all work. Forgive me if this is something I should have learned in SemWeb 101, but doesn't any inferencing mechanism based on logic assume that the ontologies are consistent? How does one ensure that the parts of multiple ontologies that one "agrees with" are consistent with one another? And if they're not, an inferencer could come to any conclusion whatsoever (e.g. the possibly apocryphal story of Bertrand Russell proving that he is the Pope from the premise that 2+2=5) ... or what am I missing here? In practice, what DOES one do, other than work with simple and unitary ontologies that don't imply anything remotely interesting, but let software agents automate the grunt work of generating queries, transformations, etc. that are just too tedious for humans to do quickly and accurately. That's use case for the semantic web technologies that I can both grok and see an application for, FWIW.
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