Hi all,
thanks to feedback from OpenLink I modified Virtuoso's indexing  
configuration for my benchmark. The results are much more favorable  
for Virtuoso now, and there's no need for graph indication. Anyway, I  
think you just won my benchmark ;)
The URL is: http://www4.wiwiss.fu-berlin.de/benchmarks-200801/ (you  
may need to refresh the page in your browser in order to load the new  
charts).

Cheers,

Christian

On Jan 14, 2008, at 3:29 PM, Kingsley Idehen wrote:

> Christian Becker wrote:
>>> Christian Becker wrote:
>>>>> Christian Becker, a student at FU Berlin who is currently  
>>>>> writing  his master thesis about using DBpedia data in a mobile  
>>>>> context has  also run some benchmarks with DBpedia data. He will  
>>>>> put a link to  his results in the Wiki over the week-end.
>>>>>
>>>>>
>>>>
>>>> My results are here: http://www4.wiwiss.fu-berlin.de/  
>>>> benchmarks-200801/. Feedback is appreciated!
>>>>
>>>> Cheers,
>>>>
>>>> Christian
>>>>
>>> Christian,
>>>
>>> Do you have .rq files for  the queries used in your query  
>>> benchmarks?
>>>
>>> Kingsley
>>
>> Kingsley,
>> I attached them and put them on the website as well.
>>
>> Cheers,
>>
>> Christian
>
> Christian,
>
> Virtuoso is a Quad Store as opposed to a Triple Store. We use Named  
> Graphs to partition Triples within the DBMS. Thus, you need to  
> identify the target Graph (via it's URI) in your queries by:
>
> 1. Using the graph-uri parameter in SPARQL Protocol Queries
> 2. FROM Clause in SPARQL statements
> 3. Use the Virtuoso's INI "[SPARQL]" to set the Default Graph to a  
> specific Graph Name
> 4.  Specific scoping of SPARQL patterns to specific Graphs when  
> joining across graphs
>
> Assuming you have DBpedia data in an internal Graph Named: 
> <http://dbpedia.org 
> > (*which is what we have in the live instance for example):
>
> Query 1:
>
> SELECT ?p ?o
> FROM <http://dbpedia.org>
> WHERE {
> <http://dbpedia.org/resource/Metropolitan_Museum_of_Art> ?p ?o
> }
>
> Kevin Bacon:
>
> PREFIX p: <http://dbpedia.org/property/>
> SELECT ?film1 ?actor1 ?film2 ?actor2
> FROM <http://dbpedia.org>
> WHERE         {
> ?film1 p:starring <http://dbpedia.org/resource/Kevin_Bacon> .
> ?film1 p:starring ?actor1 .
> ?film2 p:starring ?actor1 .
> ?film2 p:starring ?actor2 .
>   }
>
>
> There are even more tricks to come, but let's get the very basic  
> stuff in place as your benchmarks currently do not reflect Virtuoso  
> accurately. At the same time, this isn't your fault as we need to do  
> a much better job of making the usage scenarios and associated  
> optimizations much clearer in our usage documentation etc..
>
>
> Kingsley
>>
>>
>>
>>
>>
>>>
>>>
>>>
>>>>
>>>>> ----- Original Message ----- From: "Carl Crowder" <[EMAIL PROTECTED] 
>>>>>      To: <dbpedia-discussion@lists.sourceforge.net>
>>>>> Sent: Friday, January 11, 2008 12:22 PM
>>>>> Subject: [Dbpedia-discussion] Querying datasets
>>>>>
>>>>>
>>>>>
>>>>>> Hello,
>>>>>>
>>>>>> I've downloaded the datasets from the dbpedia website, and now  
>>>>>> I'm
>>>>>> trying to create a system that allows me to query the data.
>>>>>>
>>>>>> I've come across things like Jena, but I'm not sure how well it  
>>>>>> will
>>>>>> scale - I've had an import running for about a day and it's  
>>>>>> nowhere  near
>>>>>> done!
>>>>>>
>>>>>> What do you recommend for doing this? What does the dbpedia  
>>>>>> site  use as
>>>>>> it's back end?
>>>>>>
>>>>>> Carl
>>>>>>
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>>>>>> Dbpedia-discussion@lists.sourceforge.net
>>>>>> https://lists.sourceforge.net/lists/listinfo/dbpedia-discussion
>>>>>>
>>>>
>>>>
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>>>>
>>>>
>>>
>>>
>>> -- 
>>>
>>>
>>> Regards,
>>>
>>> Kingsley Idehen          Weblog: http://www.openlinksw.com/blog/ 
>>> ~kidehen
>>> President & CEO OpenLink Software     Web: http://www.openlinksw.com
>>>
>>>
>>>
>>
>
>
> -- 
>
>
> Regards,
>
> Kingsley Idehen             Weblog: http://www.openlinksw.com/blog/~kidehen
> President & CEO OpenLink Software     Web: http://www.openlinksw.com
>
>
>


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