Adrian Walker wrote:
Hi Axel --

Good to see some thinking about fundamentals. The omission of negation from the SPARQL spec (and hence the need for your ingenious workarounds) seems to be based on a confusion that can perhaps be explained away like this....

What some semantic web folks seem to want is that when new facts are added, old conclusions don't go away. They want things to be monotonic, and they therefore deprecate SQL-style negation-as-failure (NAF).

Now suppose an old conclusion p depends on ~r in a consistent theory, and that an update r is pending.

We could just add r. p would still hold, but the new theory has both r and ~r. It's inconsistent. That means that a naive theorem prover can prove absolutely anything from it. A better theorem prover would probably refuse to compute with it. Neither is a desirable outcome.

But wait. In most practical circumstances, adding r is a way of saying that ~r should be removed. So, take the update to mean "add r and also delete ~r". The new theory is consistent, and p no longer holds.

So, the price of keeping consistency through an update is that an old conclusion p may no longer be entailed. Under consistent update, using classical logic and using NAF lead to the */same /*behavior.

If we use Clark's result [1] to view a logic program with NAF as simply shorthand for a set of clauses in classical logic, the above starts to look kind of obvious.

A similar argument could be advanced for the inclusion of aggregation in an extended SPARQL spec. Now is perhaps a good time to avoid an error that the SQL folks made -- the results from SQL aggregations are implementation dependent. That's a bad idea for SQL, and a terrible one for on-the-fly linked data and the Semantic Web.

Hope this helps.

                                         -- Adrian


[1] http://www.doc.ic.ac.uk/~klc/NegAsFailure.pdf <http://www.doc.ic.ac.uk/%7Eklc/NegAsFailure.pdf>

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On Thu, Aug 21, 2008 at 11:51 AM, Axel Polleres <[EMAIL PROTECTED] <mailto:[EMAIL PROTECTED]>> wrote:


    Tackling the question from the more theoretical side,
    I like non-monotonic SPARQL queries like the ones modeling set
    difference.

    E.g.
    "Give me all persons *without* an email address" in a certain FOAF
    graph.


    i) It is already folklore, that you can do that with using the
    !bound() filter outside an optional, i.e.

    SELECT ?X
    FROM G
    WHERE { ?X a foaf:Person
           OPTIONAL { ?X foaf:mbox ?M}
           FILTER (! bound(?X) ) }


    ii) What some people might find surprising is that I can achieve
    the same result without using a FILTER, more generally that I can
    express

    SELECT ?X
    FROM G
    FROM NAMED <boundchecker.rdf>
    WHERE
     {
       { ?X a foaf:Person OPTIONAL{ ?X foaf:mbox ?M} }
       GRAPH <boundchecker.rdf>{ ?M :is :unbound }
     }

    where <boundchecker.rdf> is the graph containing the single triple

      _:b :is :unbound.

    Maybe requires some thinking, but is a nice example :-)

    (Short explanation: the blanknode in Graph <boundchecker.rdf> only
    matches to unbound variables from the optional patttern. Note that
    non-well-designed OPTIONAL patterns are not commutative, see [1].
    Actually, [1] "kind of" conjectured that non-well-designed
    patterns are useless, but - as this query shows - they aren't
    really entirely useless.)

    Axel

    1. http://iswc2006.semanticweb.org/items/Arenas2006bv.pdf


    p.s.: Since I didn't see a similar one before, I claim copyright
    for that one, basically, it is very easily generalizable to model
    arbitrary queries  SELECT ... P WITHOUT P'
     ;-)



    Lee Feigenbaum wrote:

        Hi everyone,

        I'm putting together a "SPARQL by Example" tutorial, which is,
        as the name suggests, a step-by-step introduction to SPARQL
        taught almost entirely through complete, runnable SPARQL queries.

        So far, I've gathered a great deal of example queries myself,
        but I know that many subscribers to these lists probably have
        favorite queries of their own that you might be willing to
        share with me.

        I'm looking for:

        1) SPARQL queries
        2) ...that can be run by anyone (no private data sets)
        3a)...either by running the query against a public SPARQL endpoint
        3b)...or by using a public SPARQL endpoint that will fetch
        HTTP-accessible RDF data (e.g. sparql.org <http://sparql.org>
        or demo.openlinksw.com <http://demo.openlinksw.com>)
        4) ...that answers a real* question
        5) ...and that is fun!**

        * real is in the eye of the beholder, I imagine, but I'm not
        looking for  "finds the predicates that relate ex:s and ex:o
        in this sample RDF graph"

        ** fun is also in the eye of the beholder. fun can be a query
        on fun data; a clever query that may illustrate a particular
        SPARQL construct ("trick"); a query that integrates
        interesting information; a query with surprising results; etc.

        thanks to anyone who is able to contribute!
        Lee

        PS I plan to make the tutorial slides available online under
        an appropriate CC license once they are completed.



-- Dr. Axel Polleres, Digital Enterprise Research Institute (DERI)
    email: [EMAIL PROTECTED] <mailto:[EMAIL PROTECTED]>
     url: http://www.polleres.net/

    Everything is possible:
    rdfs:subClassOf rdfs:subPropertyOf rdfs:Resource.
    rdfs:subClassOf rdfs:subPropertyOf rdfs:subPropertyOf.
    rdf:type rdfs:subPropertyOf rdfs:subClassOf.
    rdfs:subClassOf rdf:type owl:SymmetricProperty.


Adrian,

Re. SPARQL & Aggregates, see: http://esw.w3.org/topic/SPARQL/Extensions/Aggregates


--


Regards,

Kingsley Idehen       Weblog: http://www.openlinksw.com/blog/~kidehen
President & CEO OpenLink Software Web: http://www.openlinksw.com





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