Java Triple.getSubject方法代碼示例

import com.hp.hpl.jena.graph.Triple; //導入方法依賴的package包/類
private void buildBGP(OpBGP op) {
final List<Triple> triples = op.getPattern().getList();
for (final Triple triple : triples) {
    final Node subjectNode = triple.getSubject();
    final Node predicateNode = triple.getPredicate();
    final Node objectNode = triple.getObject();

    final String subject = PrefixUtil.collapsePrefix(FmtUtils
	    .stringForNode(subjectNode, prefixes));
    final String object = PrefixUtil.collapsePrefix(FmtUtils
	    .stringForNode(objectNode, prefixes));
    final String predicate = PrefixUtil.collapsePrefix(FmtUtils
	    .stringForNode(predicateNode, prefixes));

    if (bgp == null) {
	bgp = new ArrayList<TriplePattern>();
    }
    bgp.add(new TriplePattern(subject, predicate, object));
}
   }
 

import com.hp.hpl.jena.graph.Triple; //導入方法依賴的package包/類
private HashMap<String, String[]> getMappingVarsOfTriple(Triple t) {
	HashMap<String, String[]> result = new HashMap<String, String[]>();
	Node subject = t.getSubject();
	Node predicate = t.getPredicate();
	Node object = t.getObject();
	if (subject.isVariable())
		result.put(subject.getName(),
				new String[] { Tags.SUBJECT_COLUMN_NAME });
	if (predicate.isVariable()) {
		result.put(predicate.getName(),
				new String[] { Tags.PREDICATE_COLUMN_NAME });
	}
	if (object.isVariable()) {
		result.put(object.getName(),
				new String[] { Tags.OBJECT_COLUMN_NAME });
	}
	return result;
}
 

import com.hp.hpl.jena.graph.Triple; //導入方法依賴的package包/類
protected ArrayList<String> getSchemaOfTriple(Triple t) {
	ArrayList<String> schema = new ArrayList<String>();
	Node subject = t.getSubject();
	Node predicate = t.getPredicate();
	Node object = t.getObject();
	if (subject.isVariable())
		schema.add(subject.getName());
	else
		schema.add(Tags.NO_VAR);
	if (predicate.isVariable())
		schema.add(predicate.getName());
	else
		schema.add(Tags.NO_VAR);
	if (object.isVariable())
		schema.add(object.getName());
	else
		schema.add(Tags.NO_VAR);
	return schema;
}
 

import com.hp.hpl.jena.graph.Triple; //導入方法依賴的package包/類
private HashMap<String, String[]> getMappingVarsOfTriple(Triple t) {
	HashMap<String, String[]> result = new HashMap<String, String[]>();
	Node subject = t.getSubject();
	Node predicate = t.getPredicate();
	Node object = t.getObject();
	if (subject.isVariable()) {
		result.put(subject.getName(), new String[] { Tags.SUBJECT_COLUMN_NAME });
	}
	if (predicate.isVariable()) {
		selectFromTripleStore = true;
		result.put(predicate.getName(), new String[] { Tags.PREDICATE_COLUMN_NAME });
	}
	if (object.isVariable()) {
		if (selectFromTripleStore) {
			result.put(object.getName(), new String[] { Tags.OBJECT_COLUMN_NAME });
		} else {
			String objectString = object.getName();
			String predicateString = getPropertyFromURI(FmtUtils
					.stringForNode(predicate, prefixMapping), false);
			result.put(objectString, new String[] { SpecialCharFilter.filter(predicateString) });
		}
	}
	return result;
}
 

import com.hp.hpl.jena.graph.Triple; //導入方法依賴的package包/類
private HashMap<String, String[]> getMappingVarsOfTriple(Triple t) {
	HashMap<String, String[]> result = new HashMap<String, String[]>();
	Node subject = t.getSubject();
	Node predicate = t.getPredicate();
	Node object = t.getObject();
	if (subject.isVariable())
		result.put(subject.getName(),
				new String[] { Tags.SUBJECT_COLUMN_NAME });
	if (predicate.isVariable()) {
		selectFromTripleStore = true;
		result.put(predicate.getName(),
				new String[] { Tags.PREDICATE_COLUMN_NAME });
	}
	if (object.isVariable()) {
		if (selectFromTripleStore) {
			result.put(object.getName(),
					new String[] { Tags.OBJECT_COLUMN_NAME });
		} else {
			result.put(object.getName(), new String[] { SpecialCharFilter
					.filter(FmtUtils
							.stringForNode(predicate, prefixMapping)) });
		}
	}
	return result;
}
 

import com.hp.hpl.jena.graph.Triple; //導入方法依賴的package包/類
private ArrayList<String> getVarsOfTriple(Triple t) {
    ArrayList<String> vars = new ArrayList<String>();
    Node subject = t.getSubject();
    Node predicate = t.getPredicate();
    Node object = t.getObject();
    if(subject.isVariable())
        vars.add(subject.getName());
    if(predicate.isVariable())
        vars.add(predicate.getName());
    if(object.isVariable())
        vars.add(object.getName());
    return vars;
}
 

import com.hp.hpl.jena.graph.Triple; //導入方法依賴的package包/類
protected ArrayList<String> getVarsOfTriple(Triple t) {
	ArrayList<String> vars = new ArrayList<String>();
	Node subject = t.getSubject();
	Node predicate = t.getPredicate();
	Node object = t.getObject();
	if (subject.isVariable())
		vars.add(subject.getName());
	if (predicate.isVariable())
		vars.add(predicate.getName());
	if (object.isVariable())
		vars.add(object.getName());
	return vars;
}
 

import com.hp.hpl.jena.graph.Triple; //導入方法依賴的package包/類
private ArrayList<String> getVarsOfTriple(Triple t) {
	ArrayList<String> vars = new ArrayList<String>();
	Node subject = t.getSubject();
	Node predicate = t.getPredicate();
	Node object = t.getObject();
	if(subject.isVariable())
		vars.add(subject.getName());
	if(predicate.isVariable())
		vars.add(predicate.getName());
	if(object.isVariable())
		vars.add(object.getName());
	return vars;
}
 

import com.hp.hpl.jena.graph.Triple; //導入方法依賴的package包/類
/**
 * From a triple the method extracts the variable names 
 * and the columns to be selected from the table referring to that variable.
 * 
 * @param t
 * @return
 */
private HashMap<String, String[]> getMappingVarsOfTriple(Triple t) {
	HashMap<String, String[]> result = new HashMap<String, String[]>();
	Node subject = t.getSubject();
	Node predicate = t.getPredicate();
	Node object = t.getObject();
	if (subject.isVariable()){
		result.put(subject.getName(),
				new String[] { Tags.SUBJECT_COLUMN_NAME });
	}
	if (predicate.isVariable()) {
		selectFromTripleStore = true;
		result.put(predicate.getName(),
				new String[] { Tags.PREDICATE_COLUMN_NAME });
	}
	if (object.isVariable()) {
		if (selectFromTripleStore) {
			result.put(object.getName(),
					new String[] { Tags.OBJECT_COLUMN_NAME });
		} else {
			String objectString = object.getName();
			String predicateString = getPropertyFromURI(FmtUtils
					.stringForNode(predicate, prefixMapping), false);
			
			
			result.put(objectString, new String[] { SpecialCharFilter
					.filter(predicateString) });
		}
	}
	return result;
}
 

import com.hp.hpl.jena.graph.Triple; //導入方法依賴的package包/類
/**
 * Creates a {@link NodeRelation} by applying a triple pattern
 * to the TripleRelation. If the triple contains variables, then
 * the variables will be bound to the corresponding values
 * in the resulting NodeRelation. {@link Node#ANY} will be
 * converted to a variable "subject", "predicate", "object"
 * depending on its position in the triple pattern.
 * 
 * For example, selecting (?x :name ?name) would produce a
 * NodeRelation with ?x bound to the subjects and ?name bound to the
 * objects of this TripleRelation.
 * 
 * TODO This is never called at the moment. Why!?
 * 
 * @param t A triple pattern involving variables
 * @return A NodeRelation over the variables occurring in the triple pattern 
 */
public TripleRelation selectWithVariables(Triple t) {
	// Select non-variable parts of the triple
	TripleRelation selected = selectTriple(t);
	
	// Replace Node.ANY with "subject", "predicate", "object"
	Node s = t.getSubject() == Node.ANY ? SUBJECT : t.getSubject();
	Node p = t.getPredicate() == Node.ANY ? PREDICATE : t.getPredicate();
	Node o = t.getObject() == Node.ANY ? OBJECT : t.getObject();
	
	// Collect variable names and their bound node makers 
	VariableConstraints nodeMakers = new VariableConstraints();
	nodeMakers.addIfVariable(s, nodeMaker(SUBJECT), baseRelation().aliases());
	nodeMakers.addIfVariable(p, nodeMaker(PREDICATE), baseRelation().aliases());
	nodeMakers.addIfVariable(o, nodeMaker(OBJECT), baseRelation().aliases());

	// Did the same variable occur more than once in the pattern, rendering it unsatisfiable?
	if (!nodeMakers.satisfiable()) {
		return TripleRelation.EMPTY;
	}
	
	MutableRelation mutator = new MutableRelation(selected.baseRelation());

	Expression constraint = nodeMakers.constraint();
	if (!constraint.isTrue()) {
		// Same variable occured more than once, so we add a constraint to the base relation 
		mutator.select(constraint);
	}
	
	mutator.project(nodeMakers.allProjections());
	return fromNodeRelation(new NodeRelation(
			mutator.immutableSnapshot(), nodeMakers.toMap()));
}
 

import com.hp.hpl.jena.graph.Triple; //導入方法依賴的package包/類
@Override
public SQLStatement translate(String resultName) {
	this.resultName = resultName;

	List<Triple> triples = opBGP.getPattern().getList();

	HashMap<Node, TripleGroup> tripleGroups = new HashMap<Node, TripleGroup>();

	// empty PrefixMapping when prefixes should be expanded
	if (expandPrefixes) {
		prefixes = PrefixMapping.Factory.create();
	}

	// Partition triples by common subject into triple groups.
	// Each triple group can then result into its own subquery.
	// Finally all subqueries are joined by shared variable.

	for (Triple triple : triples) {
		Node key = null;
		boolean fromTripletable = false;
		if (triple.getPredicate().isVariable()) {
			key = triple.getPredicate();
			fromTripletable = true;
		} else {
			key = triple.getSubject();
			fromTripletable = false;
		}

		if (!tripleGroups.containsKey(key)) {
			tripleGroups.put(key, new TripleGroup(this.resultName + "_"
					+ tableNumber++, prefixes, fromTripletable));
		}
		tripleGroups.get(key).add(triple);
	}

	TripleGroup group = null;
	ArrayList<TripleGroup> groups = new ArrayList<TripleGroup>();
	groups.addAll(tripleGroups.values());
	group = groups.get(0);
	groups.remove(0);


	// joins are necessary
	if (groups.size() > 0) {
		ArrayList<String> onConditions = new ArrayList<String>();
		ArrayList<SQLStatement> rights = new ArrayList<SQLStatement>();
		// Greedy approach: Find join partner with most shared vars.
		Map<String, String[]> group_shifted = Schema.shiftToParent(group.getMappings(), group.getName());
		while (groups.size() > 0) {
			int index = findBestJoin(group_shifted, groups);
			TripleGroup right = groups.get(index);
			Map<String, String[]> right_shifted = Schema.shiftToParent(right.getMappings(), right.getName());
			onConditions.add(JoinUtil.generateConjunction(JoinUtil
					.getOnConditions(group_shifted, right_shifted)));
			group_shifted.putAll(right_shifted);
			rights.add(right.translate());
			groups.remove(index);

		}
		this.resultSchema = group_shifted;
		Join join = new Join(getResultName(), group.translate(), rights, onConditions, JoinType.INNER);
		join.setDistinct(true);
		return join;
	}
	// no join needed
	this.resultName = group.getName();
	SQLStatement res = group.translate();
	this.resultSchema = group.getMappings();
	return res;
}
 

import com.hp.hpl.jena.graph.Triple; //導入方法依賴的package包/類
@Override
public SQLStatement translate(String resultName) {
	this.resultName = resultName;

	List<Triple> triples = opBGP.getPattern().getList();

	HashMap<Node, SparkComplexTripleGroup> tripleGroups = new HashMap<Node, SparkComplexTripleGroup>();

	// empty PrefixMapping when prefixes should be expanded
	if (expandPrefixes) {
		prefixes = PrefixMapping.Factory.create();
	}

	// Partition triples by common subject into triple groups.
	// Each triple group can then result into its own subquery.
	// Finally all subqueries are joined by shared variable.
	for (Triple triple : triples) {
		Node key = null;
		boolean fromTripletable = false;
		if (triple.getPredicate().isVariable()) {
			key = triple.getPredicate();
			fromTripletable = true;
		} else {
			key = triple.getSubject();
			fromTripletable = false;
		}

		if (!tripleGroups.containsKey(key)) {
			tripleGroups.put(key,
					new SparkComplexTripleGroup(this.resultName + "_" + tableNumber++, prefixes, fromTripletable));
		}
		tripleGroups.get(key).add(triple);
	}

	SparkComplexTripleGroup group = null;
	ArrayList<SparkComplexTripleGroup> groups = new ArrayList<SparkComplexTripleGroup>();
	groups.addAll(tripleGroups.values());
	group = groups.get(0);
	groups.remove(0);

	// joins are necessary - if more than 1 subject
	if (groups.size() > 0) {
		ArrayList<String> onConditions = new ArrayList<String>();
		ArrayList<SQLStatement> rights = new ArrayList<SQLStatement>();
		// Greedy approach: Find join partner with most shared vars.
		Map<String, String[]> group_shifted = Schema.shiftToParent(group.getMappings(), group.getName());
		while (groups.size() > 0) {
			int index = findBestJoin(group_shifted, groups);
			SparkComplexTripleGroup right = groups.get(index);
			Map<String, String[]> right_shifted = Schema.shiftToParent(right.getMappings(), right.getName());
			onConditions.add(JoinUtil.generateConjunction(JoinUtil.getOnConditions(group_shifted, right_shifted)));
			group_shifted.putAll(right_shifted);
			rights.add(right.translate());
			groups.remove(index);

		}
		this.resultSchema = group_shifted;
		Join join = new Join(getResultName(), group.translate(), rights, onConditions, JoinType.INNER);
		join.setDistinct(true);
		return join;
	}
	// no join needed
	this.resultName = group.getName();
	SQLStatement res = group.translate();
	this.resultSchema = group.getMappings();
	return res;
}
 

import com.hp.hpl.jena.graph.Triple; //導入方法依賴的package包/類
@Override
public SQLStatement translate(String resultName) {
	this.resultName = resultName;

	List<Triple> triples = opBGP.getPattern().getList();

	HashMap<Node, ImpalaComplexTripleGroup> tripleGroups = new HashMap<Node, ImpalaComplexTripleGroup>();

	// empty PrefixMapping when prefixes should be expanded
	if (expandPrefixes) {
		prefixes = PrefixMapping.Factory.create();
	}

	// Partition triples by common subject into triple groups.
	// Each triple group can then result into its own subquery.
	// Finally all subqueries are joined by shared variable.

	for (Triple triple : triples) {
		Node key = null;
		boolean fromTripletable = false;
		if (triple.getPredicate().isVariable()) {
			key = triple.getPredicate();
			fromTripletable = true;
		} else {
			key = triple.getSubject();
			fromTripletable = false;
		}

		if (!tripleGroups.containsKey(key)) {
			tripleGroups.put(key, new ImpalaComplexTripleGroup(this.resultName + "_"
					+ tableNumber++, prefixes, fromTripletable));
		}
		tripleGroups.get(key).add(triple);
	}

	ImpalaComplexTripleGroup group = null;
	ArrayList<ImpalaComplexTripleGroup> groups = new ArrayList<ImpalaComplexTripleGroup>();
	groups.addAll(tripleGroups.values());
	group = groups.get(0);
	groups.remove(0);


	// joins are necessary
	if (groups.size() > 0) {
		ArrayList<String> onConditions = new ArrayList<String>();
		ArrayList<SQLStatement> rights = new ArrayList<SQLStatement>();
		// Greedy approach: Find join partner with most shared vars.
		Map<String, String[]> group_shifted = Schema.shiftToParent(group.getMappings(), group.getName());
		while (groups.size() > 0) {
			int index = findBestJoin(group_shifted, groups);
			ImpalaComplexTripleGroup right = groups.get(index);
			Map<String, String[]> right_shifted = Schema.shiftToParent(right.getMappings(), right.getName());
			onConditions.add(JoinUtil.generateConjunction(JoinUtil
					.getOnConditions(group_shifted, right_shifted)));
			group_shifted.putAll(right_shifted);
			rights.add(right.translate());
			groups.remove(index);

		}
		this.resultSchema = group_shifted;
		Join join = new Join(getResultName(), group.translate(), rights, onConditions, JoinType.INNER);
		join.setDistinct(true);
		return join;
	}
	// no join needed
	this.resultName = group.getName();
	SQLStatement res = group.translate();
	this.resultSchema = group.getMappings();
	return res;
}
 

import com.hp.hpl.jena.graph.Triple; //導入方法依賴的package包/類
public void convertToBoundingBox(InputStream in, OutputStream out, String baseUri,boolean mvbb){
	setRdfWriter(new WriterStreamRDFBlocks(out));
	getRdfWriter().base(baseUri);
	getRdfWriter().prefix("inst", baseUri);
	getRdfWriter().prefix("rdf", Namespace.RDF);
	getRdfWriter().prefix("xsd", Namespace.XSD);
	getRdfWriter().prefix("owl", Namespace.OWL);
	getRdfWriter().prefix("geom", GEOM.getURI());
	getRdfWriter().start();

	getRdfWriter().finish();
		PipedRDFIterator<Triple> iter = new PipedRDFIterator<Triple>();
		final PipedRDFStream<Triple> stream = new PipedTriplesStream(iter);
		ExecutorService executor = Executors.newSingleThreadExecutor();
		Runnable parser = new Runnable() {
			public void run() {
				RDFDataMgr.parse(stream, in, RDFLanguages.TTL);
			}
		};
		executor.submit(parser);
		while (iter.hasNext()) {
			Triple t = iter.next();
			Node subject = t.getSubject();
			Node predicate = t.getPredicate();
			Node object = t.getObject();
			if(predicate.equals(GEOM.asBody.asNode())){
				Geometry g=EwktReader.parseGeometry((String)object.getLiteralValue());
				if(!g.isEmpty()){
				AABBVisitor av=new AABBVisitor();					
				g.accept(av);
				AABB aabb=av.getAABB();
				getRdfWriter().triple(new Triple(subject,GEOM.asAABB.asNode(),NodeFactory.createLiteral(EwktWriter.writeGeometry(aabb.toPolyhedralSurface()))));
				if(mvbb){
					MVBBVisitor mv=new MVBBVisitor();
					g.accept(mv);
					Box mvbbb=mv.getMVBB();
					getRdfWriter().triple(new Triple(subject,GEOM.asMVBB.asNode(),NodeFactory.createLiteral(EwktWriter.writeGeometry(mvbbb.toPolyhedralSurface()))));
				}
				}
			}

		}
		executor.shutdown();
		System.out.println("Model parsed!");	
		System.out.println("Finished!");
}