- From: Dan Brickley <danbri@danbri.org>
- Date: Sat, 28 Mar 2020 12:07:44 +0000
- To: Claus Stadler <cstadler@informatik.uni-leipzig.de>
- Cc: Linked Data community <public-lod@w3.org>, Melvin Carvalho <melvincarvalho@gmail.com>
- Message-ID: <CAFfrAFoEbT9Tod1_XgOD0pLK-oMChypZJqK8A=6HwmC1cm6OuA@mail.gmail.com>
yup - really just invent a property for it or say nothing by not adding a triple unless you have some kind of idea how the things are sort-of related then the triple adds literally no information On Sat, 28 Mar 2020 at 10:19, Claus Stadler < cstadler@informatik.uni-leipzig.de> wrote: > <> is a relative IRI with an empty string relative to some base IRI - so > Linked Data clients will typically replace it with the file:// or > http(s):// URL of the document they read from. > > So don't use that, unless you want location-dependent predicates :) > > > Cheers, > > Claus > > > On 28.03.20 11:03, Melvin Carvalho wrote: > > > > On Sat, 28 Mar 2020 at 10:53, Dan Brickley <danbri@danbri.org> wrote: > >> >> there are an infinite number of boring relationships that hold between >> any arbitrary pair of objects; your best bet might be to name one for your >> application rather than attempt to use generalized (predicateless) rdf >> > > So maybe simply <> ? > > #Alice <> #Bob . > > >> >> Dan >> >> On Sat, 28 Mar 2020 at 08:57, Melvin Carvalho <melvincarvalho@gmail.com> >> wrote: >> >>> I am working on a information mapping system (aka mind maps) >>> >>> And I want to have two nodes related to each other >>> >>> #Alice R #Bob >>> >>> In the general sense, the type of relationship (predicate) R is not >>> really known at the time of creation. My software currently does not allow >>> the labeling of edges is the reason (but hopefully in future it will) >>> >>> I need a way to relate Alice to Bob but I dont have a URI for a >>> predicate. >>> >>> Is there something that can operate as a "blank predicate"? >>> >>> Or some existing relations that simply says that two entities or linked >>> / related, without yet knowing how they are related? >>> >> -- > Dipl. Inf. Claus Stadler > Department of Computer Science, University of Leipzig > Research Group: http://aksw.org/ > Workpage & WebID: http://aksw.org/ClausStadler > Phone: +49 341 97-32260 > >
Received on Saturday, 28 March 2020 12:08:11 UTC