Hi Matthias,
I hope this is not too off-topic for a mailing list entitled 'linking open
data'...
Not at all. As LOD is getting more traction, we for sure have to start
dealing with these things at some point.
A question that will surely arise in many places when more people get to
know about the linked data initiative and the growing infrastructure of
linked open data is: how can these principles be applied to organizational
data that might not / only partially be open to the public web?
I think applying the Linked Data principles within a corporate intranet does
not pose any specific requirements. It is just that the data is not
accessable from the outside.
People will soon try to develop practices for selectively protecting parts
of their linked data with fine-grained access rights. Could simple HTTP
authentication be useful for linked data?
As Linked Data heavily relies on HTTP anyway, I think HTTP authentication
should be the first choise and people having these requirements shoud check
if they can go with HTTP auth.
How does authentication work for SPARQL endpoints containing several named
graphs?
Of course you can always make things as difficult as you like. But I guess
for many use cases an all-or-nothing aproach is good enough, which would
allow HTTP authentication to be used again.
Can we use RDF vocabularies to represent access rights? Should such
vocabularies be standardized?
Sure, but I think all work in this area should be based on clearly motivated
real-world use cases and collecting these use cases should be the first step
before starting to define vocabularies.
Is there any ongoing work on defining such practices (or even 'best
practices')?
There is lots of work on using RDF, OWL and different rules languages to
represent access control proicies. See for instance Rei, KAoS and Protune or
the SemWeb policy workshop at
http://www.l3s.de/~olmedilla/events/2006/SWPW06/ , for older work also
http://www4.wiwiss.fu-berlin.de/bizer/SWTSGuide/
But I guess a lot of this will be a bit over-the-top for the common linked
data use cases.
Cheers
Chris
Cheers,
Matthias Samwald
Semantic Web Company, Austria // DERI Galway, Ireland
http://www.semantic-web.at/
http://www.deri.ie/
--
Chris Bizer
Freie Universität Berlin
+49 30 838 54057
[EMAIL PROTECTED]
www.bizer.de
