I see. I just try to find a way to somehow reduce time costs. At the 
present I consider the following variants:

   1. To somehow implement necessary inference on the base of SPIN rules;
   2. Use Micro reasoner for OWL RL and TopBraid API as a team;
   3. Get all inferences "offline", i.e. on the stage when time costs do 
   not matter.
   
Thank you for reply!

пятница, 20 ноября 2015 г., 9:21:11 UTC+3 пользователь Holger Knublauch 
написал:
>
> The SPIN model of OWL RL is not really optimized for speed, so you cannot 
> compare it to custom reasoners. Lots of rules need to be executed, 
> producing many (trivial) intermediate triples. Would your approach with the 
> OWL Micro Reasoner be an option, leaving SPIN for the custom rules?
>
> Holger
>
>
> On 11/18/2015 15:43, [email protected] <javascript:> wrote:
>
> Thank you for reply.
> So I make a series of tests to discover the problem. As a positive result 
> I expect that each test returns two inferred triples. One triple depends 
> only on SPIN rules, while the second depends on OWL RL + SPIN rules 
> inference.
> 1. The first test is a test without OWL RL importing. Of course, I got 
> only one triple (negative result). It consumes ~110 ms.
> 2. The second test is a test with importing OWL RL (it is made as in the 
> aforementioned example). I got two triples. It consumes ~3200 ms.
> 3. The third test uses Jena reasoner (OWL Micro Reasoner) to infer OWL RL 
> rules, then it makes a query to the inferred model to get iferred triples 
> and adds these triples to the main model. After this step 
> SPINInferences.run method is called on the main model. I got two triples. 
> It consumes ~430 ms.
>
> All test's time consumptions do not include time for ontology models 
> loading and importing.
>
> среда, 18 ноября 2015 г., 3:15:58 UTC+3 пользователь Holger Knublauch 
> написал: 
>>
>> On 11/17/2015 16:32, [email protected] wrote:
>>
>> I created a simple ontology in free TopBraid Composer and added some spin 
>> rules. When I run inference all worked just fine. So it is when I worked 
>> with this ontology with the help of TopBraid API. 
>> I decided to use OWL RL in order to inference subclass relation on the 
>> base of property restriction. I switched on the corresponding profile and 
>> under TopBraid Composer all worked as well as before. I mean that I run 
>> inference and get the expected inferred triple.
>> To use OWL RL while inference I made the same things as in the 
>> OWLRLExample.java. So I get the expected triple. But it is inferencing 
>> notably slowly more than 8000 triples. Without OWL RL it gives only 4 
>> triples (of course, without the expected).
>> Is it possible to somehow decrease inference time and result?
>>
>>
>> TopBraid Composer displays fewer inferences because it is removing many 
>> "trivial" inferences, such as
>>
>>     ?x owl:sameAs ?x .
>>
>> and
>>
>>     ?c rdfs:subClassOf ?c .
>>
>> This may explain why you are seeing more triples with the SPIN API. 
>> However, it does not explain a difference in performance (run time). Could 
>> you give some of idea of how much the time difference is?
>>
>> Holger
>>
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