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Re: [ontolog-forum] ONTOLOG community event planning and scheduling sess

To: "[ontolog-forum] " <ontolog-forum@xxxxxxxxxxxxxxxx>
From: Michael Brunnbauer <brunni@xxxxxxxxxxxx>
Date: Fri, 13 Sep 2013 15:33:16 +0200
Message-id: <20130913133316.GA29230@xxxxxxxxxxxx>

Hello Kingsley,    (01)

On Fri, Sep 13, 2013 at 08:37:01AM -0400, Kingsley Idehen wrote:
> >I agree wholeheartedly. RDF and SPARQL make data integration easier 
> >(without
> >solving the fundamental issues of course).
> What is the fundamental issue, as you see it?    (02)

http://en.wikipedia.org/wiki/Heterogeneous_database_system#Problems_of_heterogeneous_database_integration    (03)

http://lists.w3.org/Archives/Public/public-lod/2013Jun/0458.html    (04)

> I see the fundamental issue (or pain point) being data-de-silo-fication.    (05)

RDF is nice for Extract Transform Load. The problems start if you want to
change data.    (06)

> >  But they are a bad option for data
> >storage because maintaining consistency is so difficult (think about 
> >deleting
> >a row or transactions).
> I don't know what that really means.    (07)

Suppose you have an App with user registration. If you store the user data
in a triple store, deleting a user with SPARQL becomes difficult. Removing
a single triple is not enough. Storing the user in a named graph may help but
probably creates other problems and definitely makes querying a lot more
complicated.    (08)

What about SPARQL transactions ? Starting a transaction, reading and updating,
commiting the transaction. Is there a triple store that supports this with 
all the fidelity of modern RDB systems ?    (09)

> I say that because we simply don't have that problem in our hybrid DBMS.    (010)

I don't know what that really means. Can I modify data with SPARQL *and* SQL
in your DBMS ? If yes, how does that work ?    (011)

Regards,    (012)

Michael Brunnbauer    (013)

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