RE: blank predicates

Yep

From: Dan Brickley <danbri@danbri.org>
Sent: 28 March 2020 12:08
To: Claus Stadler <cstadler@informatik.uni-leipzig.de>
Cc: Linked Data community <public-lod@w3.org>; Melvin Carvalho <melvincarvalho@gmail.com>
Subject: Re: blank predicates


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<mailto: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<mailto: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<mailto: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


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