So all updates are A-box related?

On Fri, Mar 30, 2012 at 8:22 AM, [email protected] <[email protected]> wrote:
> Thanks a lot for your reply!
> As you have assumed, I don't use neither TDB or SDB...I have an in memory-
> model at runtime.
> It seems to me that my model does not require complicate inferences...at every
> step,
> it extracts a tuple from the DB and generates the corresponding individuals
> with:
> model.createIndividual; the properties are added using the addProperty
> method.
>
> The only thing that can be complicated to be calculated is that, if an
> individual has the same
> id of the last one processed, I extract the latter from the ontology to add
> some properties...
>
> thanks a lot again!
>
> Paola
>
>
>
>>----Messaggio originale----
>>Da: [email protected]
>>Data: 30/03/2012 13.56
>>A: "[email protected]"<[email protected]>
>>Cc: <[email protected]>
>>Ogg: Re: Re: Jena slow ontology population
>>
>>your hardware looks good, what type of inference does your model
>>require for updates?
>>
>>Pellet is a very powerful reasoning system which can result in
>>significant computational complexity for the subsystem to deal with
>>depending on your level of inference that is of course. So you better
>>know exactly what level of reasoning your application requires in
>>advance to optimize the system at run-time.
>>
>>TBD, SDB are persistent storage options, from what you have just said
>>I can assume you are using an in-memory model at run-time.
>>
>>
>>
>>
>>On Fri, Mar 30, 2012 at 7:41 AM, [email protected] <[email protected]>
> wrote:
>>> Hi Marco, thanks a lot for your help! :-)
>>>
>>> Version of Jena: 2.6.4
>>> OS: Linux 64 bit
>>> reasoner: Pellet
>>> TDB and SDB: I don't use them, I believed that they were related to RDF
> while
>>> I'm using OWL, but maybe I can be wrong...
>>>
>>> current hw:
>>>  *-CPU
>>>          description: CPU
>>>          product: Intel(R) Xeon(R) CPU
>>>          version: Intel(R) Xeon(R) CPU E5620
>>>          slot: CPU 1
>>>          size: 2400MHz
>>>          capacity: 2400MHz
>>>          width: 64 bits
>>>          clock: 133MHz
>>>  *-memory
>>>          description: System Memory
>>>          physical id: 24
>>>          slot: System board or motherboard
>>>          size: 8GiB
>>>
>>> If you want to know other information, please tell me! And thanks a lot
> again!
>>>
>>> Paola
>>>
>>>>----Messaggio originale----
>>>>Da: [email protected]
>>>>Data: 30/03/2012 11.36
>>>>A: <[email protected]>, "[email protected]"<villa.va@libero.
>>> it>
>>>>Ogg: Re: Jena slow ontology population
>>>>
>>>>can you please be a bit more specific about the configuration you have
>>>>currently installed? e.g. version of Jena, back end type (TDB, SDB,
>>>>in-memory), current hardware, and OS (32bit, 64bit, linux,
>>>>windows,mac), and type of reasoner you use.
>>>>
>>>>---
>>>>Marco Neumann
>>>>KONA
>>>>
>>>>Join us at SemTech Biz in San Francisco June 3-7 2012 and save 15%
>>>>with the lotico community discount code 'STMN'
>>>>http://www.lotico.com/evt/SemTechSF2012/
>>>>
>>>>On Fri, Mar 30, 2012 at 4:22 AM, [email protected] <[email protected]>
>>> wrote:
>>>>> Dear users,
>>>>>
>>>>> I am new to Jena and have a problem with Jena OWL-API. I have written
> some
>>>>> simple Java code that:
>>>>>
>>>>> 1) extracts some tuples (around 1 million tuples) of data from a database
>>>>> 2) puts each of them in an ontology file using Jena library. In
> particular,
>>> it
>>>>> takes every tuple and inserts
>>>>> every element in a class of the ontology file, by using methods like
>>>>> createIndividual, addproperty, model.write.
>>>>>
>>>>> The insertion phase is very quick when my program starts, but the
>>> performances
>>>>> became worse and worse as
>>>>> time goes by. The DB man has told me that the database has no problems. I
>>> have
>>>>> run the program with 5 gigabytes
>>>>> of RAM...it simply ends up to use them all. Is that normal? Do I have to
>>> use a
>>>>> more powerful PC to manage such
>>>>> data? I can give you more details about my problem if you tell me what I
>>> have
>>>>> to look for exactly.
>>>>>
>>>>> Thanks a lot,
>>>>>
>>>>> Paola
>>>>
>>>
>>>
>>
>>
>>
>>--
>>
>>
>>---
>>Marco Neumann
>>KONA
>>
>>Join us at SemTech Biz in San Francisco June 3-7 2012 and save 15%
>>with the lotico community discount code 'STMN'
>>http://www.lotico.com/evt/SemTechSF2012/
>>
>
>



-- 


---
Marco Neumann
KONA

Join us at SemTech Biz in San Francisco June 3-7 2012 and save 15%
with the lotico community discount code 'STMN'
http://www.lotico.com/evt/SemTechSF2012/

Reply via email to