Hi Oliver,

Did you build from the git stable/7 or develop/7  branch as there is a fix for 
this "No table rdf_obj" issue in develop/7 ?

        https://github.com/openlink/virtuoso-opensource

Best Regards
Hugh Williams
Professional Services
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On 17 Jun 2014, at 17:35, Olivier Dalang <olivier.dal...@gmail.com> wrote:

> Dear mailing list,
> 
> I'm very excited of the new geo support that comes with Virtuoso 7.1 !
> 
> I'm trying to implement exactly the geosparql example found at [1] (at pages 
> 16-20). In short, they create two geofeatures, and then run a query to select 
> features contained in other features (monuments in parks).
> 
> I got no result using their ns3/sparql (which I think is normal since I read 
> somewhere that virtuoso doesn't use the standard geosparql ontologies). So 
> I've looked at virtuoso's tutorial [2] and at the documentation [3] to try to 
> adapt the example so that it works on Virtuoso 7.1 opensource.
> 
> You'll find adapted (and simplified) N3 data and Sparql query below. The goal 
> is to return WashgintonMonument, which lies in the park, but no 
> NewYorkMonument, which is outside.
> 
> But when I try to use bif:st_intersects, I get this error : Virtuoso S0002 
> Error SQ200: No table rdf_obj
> 
> Am I missing a step ? 
> 
> Thanks you very much !
> 
> Best regards,
> 
> Olivier
> 
> 
> [1] : 
> http://www.ssec.wisc.edu/meetings/geosp_sem/presentations/GeoSPARQL_Getting_Started%20-%20KolasWorkshop%20Version.pdf
> [2] : 
> http://virtuoso.openlinksw.com/tutorials/sparql/SPARQL_Tutorials_Part_11/SPARQL_Tutorials_Part_11.html#(1)
> [3] : http://docs.openlinksw.com/virtuoso/rdfsparqlgeospat.html
> 
> 
> A. The N3 Data
> 
> #Ontology
> 
> @prefix virtrdf: <http://www.openlinksw.com/schemas/virtrdf#> .
> @prefix owl: <http://www.w3.org/2002/07/owl#> . 
> @prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#> . 
> @prefix geo: <http://www.w3.org/2003/01/geo/wgs84_pos#> . 
> @prefix : <http://dhlabpc2.epfl.ch/OntoWiki/vtm_geoexample2/> .  
> 
> :Park                   a                   owl:Class; 
>                         rdfs:subClassOf     :PointOfInterest . 
> 
> :Monument               a                   owl:Class; 
>                         rdfs:subClassOf     :PointOfInterest . 
> 
> :PointOfInterest        a                   owl:Class; 
>                         rdfs:subClassOf     geo:Feature . 
>  
> # Instances
> 
> :WashingtonMonument             a                   :Monument; 
>                                 rdfs:label          "Washington Monument"; 
>                                 geo:geometry        "POINT(5 
> 5)"^^virtrdf:Geometry .
> 
> 
> :NewYorkMonument                a                   :Monument; 
>                                 rdfs:label          "New York Monument"; 
>                                 geo:geometry        "POINT(15 
> 15)"^^virtrdf:Geometry .
> 
> :NationalMall                   a                   :Park; 
>                                 rdfs:label          "National Mall"; 
>                                 geo:geometry        "POLYGON((0 0,  10 0,  10 
> 10,  0 10,  0 0))"^^virtrdf:Geometry .
> 
> B. The SPARQL Query
> 
> PREFIX virtrdf: <http://www.openlinksw.com/schemas/virtrdf#>
> PREFIX owl: <http://www.w3.org/2002/07/owl#> 
> PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#> 
> PREFIX geo: <http://www.w3.org/2003/01/geo/wgs84_pos#> 
> PREFIX : <http://dhlabpc2.epfl.ch/OntoWiki/vtm_geoexample2/> 
>  
> SELECT ?m ?p 
> WHERE { 
> 
>         ?m          a                   :Monument ; 
>                     geo:geometry        ?mgeo .
> 
>         ?p          a                   :Park ; 
>                     geo:geometry        ?pgeo . 
> 
>         FILTER (bif:st_intersects (?mgeo, ?pgeo)) #this line makes the query 
> bug
> } 
> 
> ------------------------------------------------------------------------------
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HPCC Systems Open Source Big Data Platform from LexisNexis Risk Solutions
Find What Matters Most in Your Big Data with HPCC Systems
Open Source. Fast. Scalable. Simple. Ideal for Dirty Data.
Leverages Graph Analysis for Fast Processing & Easy Data Exploration
http://p.sf.net/sfu/hpccsystems
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