Hi Michael, hi all,
we don't provide an additional export only for the schema.org mappings. They 
are part of our ontology, so you can get it via our ontology export: 
http://mappings.dbpedia.org/server/ontology/export
I hope that is adequate for your requirements.

regards,
paul

-------- Original-Nachricht --------
> Datum: Fri, 8 Jul 2011 17:30:15 +0100
> Von: Michael Hausenblas <[email protected]>
> An: Paul Kreis <[email protected]>
> CC: [email protected]
> Betreff: Re: [Dbpedia-discussion] DBpedia to schema.org

> 
> Paul,
> 
> > the DBpedia ontology now provides mappings to schema.org vocabulary.
> 
> 
> Awesome! We're collecting mappings to Schema.org at [1] and I'd like  
> to include a pointer to this mapping as well -  what is the suggested  
> canonical URI for it?
> 
> Cheers,
>       Michael
> 
> [1] https://github.com/mhausenblas/schema-org-rdf/tree/master/mappings
> 
> --
> Dr. Michael Hausenblas, Research Fellow
> LiDRC - Linked Data Research Centre
> DERI - Digital Enterprise Research Institute
> NUIG - National University of Ireland, Galway
> Ireland, Europe
> Tel. +353 91 495730
> http://linkeddata.deri.ie/
> http://sw-app.org/about.html
> 
> On 8 Jul 2011, at 17:27, Paul Kreis wrote:
> 
> > Hey all,
> > the DBpedia ontology now provides mappings to schema.org vocabulary.  
> > There are 44 equivalent classes, 10 sub classes and 31 equivalent  
> > properties.
> > This mappings can be edited via the mappings wiki.
> > Because of the different detail level of schema.org and DBpedia  
> > ontology we only cover 54 of about 290 schema.org classes. For  
> > instance, schema.org has round about 120 classes for local  
> > businesses ( e.g. BikeStore, BookStore, ClothingStore,  
> > ComputerStore, Attorney, Dentist, Electrician, HousePainter,  
> > Locksmith, ...). The DBpedia ontology doesn't provide such detailed  
> > classes, because Wikipedia hasn't articles for small local stores or  
> > services.
> > I have attached lists of the mappings to this email. You are invited  
> > to discuss or edit the mappings.
> >
> > How to map schema.org classes/properties:
> > The owl:equivalentClass property now contains a comma seperated list  
> > of equivalent classes.
> > dbpedia-owl:Person for example:
> > {{Class
> > | rdfs:label@en = person
> > | owl:equivalentClass = foaf:Person, schema:Person
> > }}
> > Sub classes are defined by the rdfs:subClassOf property. Here, it is  
> > to consider that the order of given classes is important for the  
> > dbpedia ontology hierarchy. If a class is a sub class of another  
> > dbpedia class, the dbpedia class must be given first.
> > dbpedia-owl:MusicFestival for example:
> > {{Class
> > | rdfs:label@en = music festival
> > | rdfs:subClassOf = Event, schema:Festival
> > }}
> > Equivalent properties are of course defined by owl:equivalentProperty.
> > dbpedia-owl:foundedBy for example:
> > {{ObjectProperty
> > | rdfs:label@en = founded by
> > | rdfs:domain = owl:Thing
> > | rdfs:range = owl:Thing
> > | owl:equivalentProperty = schema:founders
> > }}
> >
> > regards,
> > Paul
> >
> > < 
> > DBpediaToSchemaOrg_SubClasses 
> > .txt 
> > > 
> > < 
> > DBpediaToSchemaOrg_classes 
> > .txt 
> > > 
> > < 
> > DBpediaToSchemaOrg_properties 
> > .txt 
> > > 
> >
> ------------------------------------------------------------------------------
> > All of the data generated in your IT infrastructure is seriously  
> > valuable.
> > Why? It contains a definitive record of application performance,  
> > security
> > threats, fraudulent activity, and more. Splunk takes this data and  
> > makes
> > sense of it. IT sense. And common sense.
> >
> http://p.sf.net/sfu/splunk-d2d-c2_______________________________________________
> > Dbpedia-discussion mailing list
> > [email protected]
> > https://lists.sourceforge.net/lists/listinfo/dbpedia-discussion
> 

------------------------------------------------------------------------------
All of the data generated in your IT infrastructure is seriously valuable.
Why? It contains a definitive record of application performance, security 
threats, fraudulent activity, and more. Splunk takes this data and makes 
sense of it. IT sense. And common sense.
http://p.sf.net/sfu/splunk-d2d-c2
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