/** Runs the pellet reasoner on the aligned ontology */
private void runPellet() {
Reasoner reasoner = PelletReasonerFactory.theInstance().create();
reasoner = reasoner.bindSchema(schema);
inferredModel = (InfModel) ModelFactory.createInfModel(reasoner, schema);
StmtIterator stmts = inferredModel.listStatements();
inferences = (OntModel) ModelFactory.createOntologyModel().add(stmts);
} // runPellet
// This is the inference method for getting data from OWL file
public String sparqlInferenceMethod(String qry) {
OntModel ont = ModelFactory.createOntologyModel(OntModelSpec.OWL_MEM_MICRO_RULE_INF, null);
try {
ont.read(
new FileInputStream(
// "D:/AI Project/harsh/myNew.owl"),
"SmartHospital.owl"),
null,
"RDF");
} catch (FileNotFoundException e) {
e.printStackTrace();
}
Reasoner reasoner = ReasonerRegistry.getOWLMicroReasoner();
reasoner = reasoner.bindSchema(ont);
Dataset dataset = TDBFactory.createDataset();
Model model = dataset.getDefaultModel();
InfModel infModel = ModelFactory.createInfModel(reasoner, model);
String disease = null;
String hospital = null;
String hospitalCode = null;
StringBuilder res = new StringBuilder();
Query query = QueryFactory.create(qry);
QueryExecution exec = QueryExecutionFactory.create(query, infModel);
try {
System.out.println("here");
ResultSet rs = exec.execSelect();
while (rs.hasNext()) {
QuerySolution soln = rs.nextSolution();
disease = soln.get("dn").toString();
hospital = soln.get("hn").toString();
hospitalCode = soln.get("hc").toString();
}
} finally {
exec.close();
}
res.append(disease);
res.append("::");
res.append(hospital);
res.append("::");
res.append(hospitalCode);
return res.toString();
}
