jena解析rdf、nt、ttl格式数据

import java.io.InputStream;

import com.hp.hpl.jena.rdf.model.Model;
import com.hp.hpl.jena.rdf.model.ModelFactory;
import com.hp.hpl.jena.rdf.model.RDFNode;
import com.hp.hpl.jena.rdf.model.Resource;
import com.hp.hpl.jena.rdf.model.Statement;
import com.hp.hpl.jena.rdf.model.StmtIterator;
import com.hp.hpl.jena.util.FileManager;

public class test
{
	public static void main(String args[])
	{
		//String inputFileName = "E:\\Pattern Mining\\test.rdf";
		String inputFileName = "E:\\Pattern Mining\\test.nt";
		//String inputFileName = "E:\\Pattern Mining\\test.ttl";
		
		Model model = ModelFactory.createDefaultModel();

		InputStream in = FileManager.get().open(inputFileName);
		if (in == null) 
		{
			throw new IllegalArgumentException("File: " + inputFileName + " not found");
		}

		//model.read(in, "","RDF/XML");//根据文件格式选用参数即可解析不同类型
		model.read(in, "","N3");
		//model.read(in, "","TTL");

		// list the statements in the graph
		StmtIterator iter = model.listStatements();

		// print out the predicate, subject and object of each statement
		while (iter.hasNext()) 
		{
			Statement stmt = iter.nextStatement(); // get next statement
			//Resource subject = stmt.getSubject(); // get the subject
			//Property predicate = stmt.getPredicate(); // get the predicate
			//RDFNode object = stmt.getObject(); // get the object

			String subject = stmt.getSubject().toString(); // get the subject
			String predicate = stmt.getPredicate().toString(); // get the predicate
			RDFNode object = stmt.getObject(); // get the object
			

			System.out.print("主语 " + subject);	
			System.out.print(" 谓语 " + predicate);		
			if (object instanceof Resource) 
			{
				System.out.print(" 宾语 " + object);
			}
			else {// object is a literal
				System.out.print("宾语 \"" + object.toString() + "\"");
			}
			System.out.println(" ."); 
		}
	}
}