[tdwg-content] Unintentionally introducing classes. [SEC=UNCLASSIFIED]

[Peter DeVries]

I have not tested these with the most recent versions of the data set but
they should be close.

http://www.taxonconcept.org/example-sparql-queries/

<http://www.taxonconcept.org/example-sparql-queries/>
http://about.geospecies.org/sparql.xhtml

<http://about.geospecies.org/sparql.xhtml>This live query works on the LOD
cloud I just tried it:

http://bit.ly/aBBFCA

<http://bit.ly/aBBFCA>If you look through by previous emails on this list
you will see other examples.

Also Sindice does some inferencing, you can try it here.

http://inspector.sindice.com/index.jsp

You can try it with this occurrence record
http://ocs.taxonconcept.org/ocs/a71fda68-024a-4020-a34c-64dce7935e5f.rdf

- Pete

On Wed, Nov 10, 2010 at 6:20 PM, Bertram Ludaescher <ludaesch at ucdavis.edu>wrote:

> On a somewhat related note:
>
> Has someone pointers to "real-world reasoning examples", i.e., where
> datasets, assertions, or other semantic web or LOD "knowledge" is used to
> make "interesting" inferences?
>
> Additionally, what about simple querying (as opposed to reasoning) examples
> over LOD and other "data out there"? (I realize that the borderline between
> querying and reasoning is not as clear-cut as the terminology seems to
> imply; e.g., Datalog rules are commonly viewed as queries, while logic
> programming rules are viewed as inference rules)
>
> I'm asking also because next quarter I'll be teaching an undergraduate
> class on scientific data management and I'm looking for interesting datasets
> to play with..
>
> Thanks, best
>
> Bertram
>
> --
> Bertram Ludäscher
> Professor of Computer Science
> Dept of Computer Science & Genome Center
> University of California, Davis
> ludaesch at ucdavis.edu / daks.ucdavis.edu
> Phone: +1-530-554-1800
>
>
> On Mon, Nov 8, 2010 at 5:10 AM, Paul Murray <pmurray at anbg.gov.au> wrote:
>
>> >
>> > Anybody can do that, so how do we certify metadata sources as "trusted"
>> in our community?  The state of the LOD cloud at the moment reminds me of
>> the early days of email and the Web, when it was reasonably "safe" to assume
>> that users' intentions were good.  Then came viruses, trojans, phishing
>> scams, etc.  If those kinds of things had been considered at the start of
>> email and the Web and considered in its design, it would have been easier to
>> prevent (or reduce) the evolution of nefarious uses of the Web.  Perhaps we
>> should be thinking about that more now when we are in the early stages of
>> designing for the "semantic web".
>>
>> "The cloud" is never going to be a consistent ontology (it only takes one
>> person asserting "A is not A" ). When you ask a reasoner to reason, you
>> always give it a limited set of triples that you trust for its axioms. I
>> haven't looked into it yet in any detail, but I think that this is the role
>> of SPARQL - it becomes possible to say "using the reasoning rules *here* and
>> *here*, reason over all the triples served up at at biodiversity.org.auand
>> zoobank.org". The other alternative is "importing" all of the individual
>> URIs at biodiversity.org.au, which is obviously infeasible.
>>
>> > There has been the suggestion made by several people that we need a
>> second kind of Darwin Core, an RDF recommendation that will allow for deep
>> semantic reasoning.
>>
>> I don't think you need an entirely different DwC. What will serve the
>> purpose is a auxiliary vocabulary document. A separate document with OWL
>> rules about the DwC predicates, which you can choose to import and reason
>> over. Those rules don't need to be in the document defining the vocabulary.
>> Perhaps more than one ruleset.
>>
>>
>>
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-- 
---------------------------------------------------------------
Pete DeVries
Department of Entomology
University of Wisconsin - Madison
445 Russell Laboratories
1630 Linden Drive
Madison, WI 53706
TaxonConcept Knowledge Base <http://www.taxonconcept.org/> / GeoSpecies
Knowledge Base <http://lod.geospecies.org/>
About the GeoSpecies Knowledge Base <http://about.geospecies.org/>
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