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%
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>
>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
>