Jena Side Performance Improvement

Question

Hi,
I have below Jena code and i am using Oracle 11g Release 2:
String [] modelNames = {"MD_1"};
String[] rbs = {"OWLPRIME", "OWLSIF","RDFS++","OWL2RL"};
Attachment attachment = Attachment.createInstance(
                    modelNames,
               rbs,
          InferenceMaintenanceMode.NO_UPDATE,
          QueryOptions.ALLOW_QUERY_VALID_AND_DUP );
GraphOracleSem g = new GraphOracleSem(oracle, "MD_2",attachment);
g.performInference();
ModelOracleSem m = new ModelOracleSem(g);
Model model = m.asModel(g);
String queryString = SPARQL QUERY
Query query = QueryFactory.create(queryString,Syntax.syntaxARQ);
QueryExecution qexec = QueryExecutionFactory.create(query, model);
ResultSet results = qexec.execSelect();
ResultSetFormatter.out(System.out, results,query);
model.close();
Is there any function in jena that i can call which will help me in improving Performance?

Answer 1

Hi,
Why do you have so many rulebases selected? Please pick one, say OWLPRIME as a start.
Also, you need to run
graph.analyze() after finishing a non-trivial piece of data loading work,
and
graph.analyzeInferredGraph() after the performInference call.
You don't need the following line. An ModelOracleSem object can be used as a regular Jena model.
Model model = m.asModel(g);
Thanks,
Zhe Wu