- From: Hugh Glaser <hg@ecs.soton.ac.uk>
- Date: Mon, 17 Nov 2008 22:33:01 +0000
- To: Richard Cyganiak <richard@cyganiak.de>
- CC: "public-lod@w3.org" <public-lod@w3.org>, Semantic Web <semantic-web@w3.org>, "dbpedia-discussion@lists.sourceforge.net" <dbpedia-discussion@lists.sourceforge.net>
Very nicely put, Richard. We are opening up the discussion here of when to define one's own and when to (re-)use from elsewhere. I am a bit uncomfortable with the idea of "you should use a:b from c and d:e from f and g:h from i..." It makes for a fragmented view of my data, and might encourage me to use things that do not capture exactly what I mean, as well as introducing dependencies with things that might change, but over which I have no control. So far better to use ontologies of type (b) where appropriate, and define my own of type (a), which will (hopefully) be nicely constructed, and easier to understand as smallish artefacts that can be looked at as a whole. Of course, this means we need to crack the infrastructure that does dynamic ontology mapping, etc. Mind you, unless we have the need, we are less likely to do so. I also think that the comments about the restrictions being a characteristic of the dataset for type (a), but more like comments on the world for type (b) are pretty good. Hugh On 17/11/2008 20:09, "Richard Cyganiak" <richard@cyganiak.de> wrote: John, Here's an observation from a bystander ... On 17 Nov 2008, at 17:17, John Goodwin wrote: <snip> > This is also a good example of where (IMHO) the domain was perhaps > over specified. For example all sorts of things could have > publishers, and not the ones listed here. I worry that if you reuse > DBpedia "publisher" elsewhere you could get some undesired inferences. But are the DBpedia classes *intended* for re-use elsewhere? Or do they simply express restrictions that apply *within DBpedia*? I think that in general it is useful to distinguish between two different kinds of ontologies: a) Ontologies that express restrictions that are present in a certain dataset. They simply express what's there in the data. In this sense, they are like database schemas: If "Publisher" has a range of "Person", then it means that the publisher *in this particular dataset* is always a person. That's not an assertion about the world, it's an assertion about the dataset. These ontologies are usually not very re-usable. b) Ontologies that are intended as a "lingua franca" for data exchange between different applications. They are designed for broad re-use, and thus usually do not add many restrictions. In this sense, they are more like controlled vocabularies of terms. Dublin Core is probably the prototypical example, and FOAF is another good one. They usually don't allow as many interesting inferences. I think that these two kinds of ontologies have very different requirements. Ontologies that are designed for one of these roles are quite useless if used for the other job. Ontologies that have not been designed for either of these two roles usually fail at both. Returning to DBpedia, my impression is that the DBpedia ontology is intended mostly for the first role. Maybe it should be understood more as a schema for the DBpedia dataset, and not so much as a re-usable set of terms for use outside of the Wikipedia context. (I might be wrong, I was not involved in its creation.) Richard
Received on Monday, 17 November 2008 22:34:01 UTC