- From: Dimitris Kontokostas <kontokostas@informatik.uni-leipzig.de>
- Date: Fri, 18 Jul 2014 07:41:31 +0300
- To: Karen Coyle <kcoyle@kcoyle.net>
- Cc: Simon Spero <sesuncedu@gmail.com>, "public-rdf-shapes@w3.org" <public-rdf-shapes@w3.org>
- Message-ID: <CA+u4+a0B8Mv9FvcVxSMfmUU_9TCFuypRr+K4PqwS0goZ6GLjkA@mail.gmail.com>
On Fri, Jul 18, 2014 at 6:25 AM, Karen Coyle <kcoyle@kcoyle.net> wrote: > > > On 7/17/14, 3:58 PM, Simon Spero wrote: > >> On Thu, Jul 17, 2014 at 6:26 PM, Karen Coyle <kcoyle@kcoyle.net >> <mailto:kcoyle@kcoyle.net>> wrote: >> >> Absolutely. In fact, I doubt if anyone can guarantee that their data >> will never have to interact with OW assumptions. I do hope that we >> keep in mind that we must support both contexts. >> >> Karen - >> to help clarify discussion, could you give some possibly give some >> specific examples from the Library, Archive, or Museum domains where the >> OWA is especially problematic? >> > > I actually think I was saying the opposite: that most LAM data sources > that I encounter are intended for public consumption, and therefore try to > be aware of the OW and what it means for their data. At the same time, data > creators, and those LAM institutions that are exchanging data amongst them > for their private purposes, have a need to create data that validates > against certain rules. Two examples are the data aggregators Europeana and > Digital Public Library of American. They aggregate data created in widely > diverse contexts and that do not follow a common data format, and therefore > want to validate incoming data. The rules used for that validation (one and > only one title, as an example) are not ones that would apply to the OW. > > As for an area where OWA is problematic, one need look no further than > FRBRer ontology[1], which is clearly designed using OWL constraints (which > I prefer to call "axioms" to avoid confusion) in a closed world way. The > definitions are quite strict, with all classes disjoint each other, such > that, using reasoning in the OW, any FRBRer data will be inconsistent with > data not using that exact set of axioms. > We used a FRBRer dataset as a use case in the main RDFUnit paper [1] and we actually came to the same conclusions. As mentioned earlier, we prefer SPARQL property paths for type inferencing since reasoning can hide or introduce new inconsistencies. Best, Dimitris [1] http://svn.aksw.org/papers/2014/WWW_Databugger/public.pdf > > Did that answer your question? Or did I misunderstand your purpose? > > kc > [1] http://iflastandards.info/ns/fr/frbr/frbrer/ > > >> Thanks. >> Simon >> > > -- > Karen Coyle > kcoyle@kcoyle.net http://kcoyle.net > m: 1-510-435-8234 > skype: kcoylenet > > -- Dimitris Kontokostas Department of Computer Science, University of Leipzig Research Group: http://aksw.org Homepage:http://aksw.org/DimitrisKontokostas
Received on Friday, 18 July 2014 04:42:28 UTC