[Pellet-users] Extremely long inference times

[Liu, Richard]

Hello,

 

Martin O'Connor at Protege suggested that I send this problem and  its ontology 

(attached) to the Pellet list, as he thinks it is a Pellet problem.

 

The project SafetyClassification_Classes_Rules_001-1000.pprj uses 

SafetyClassification_Classes_Rules_001-1000.owl and some ontologies  in 

OCRePublic.  Before running the Jess rule engine on rules  contained within the 

ontology the Pellet 1.5.1 (direct) reasoner  infers in ca. 146 sec.  After 

running Jess using only the rule  Discover_Titles_in_Reports and importing 718 

new "facts" into  ontology  (SafetyClassification_Classes_Rules_001-

1000_after_SWRL.pprj)  inferencing takes 7332 sec.  Moreover, it requires a heap 

size of  more than 800MB (I succeeded in running with 1GB, but perhaps a bit 

less would also suffice).  I am wondering what I can do to  significantly reduce 

the inferencing times, especially that after  incorporating the new knowledge 

into the ontology) and, if  possible, the required heap size.

 

I am running on a MacBook Pro Core 2 Duo, 2.33GHz, 2GB RAM with OS  X 10.4.11 

(Tiger).

 

Regards,

Richard

 

____________________________

Richard Liu

Group Research Information

Scientific Information Resources

F. Hoffmann-La Roche Ltd.

PXIBR

Bldg. 092/6.01

CH-4070 Basel, Switzerland

Phone: +41 (0)61 687 92 14

FAX: +41 (0)61 688 95 70

richard.liu at roche.com

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