Java Code Examples for org.eclipse.rdf4j.query.algebra.StatementPattern#getObjectVar()
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org.eclipse.rdf4j.query.algebra.StatementPattern#getObjectVar() .
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Example 1
Source File: ReflexivePropertyVisitor.java From rya with Apache License 2.0 | 6 votes |
/** * Check whether any solution for the {@link StatementPattern} could be derived from * reflexive property inference, and if so, replace the pattern with a union of itself and the * reflexive solution. */ @Override protected void meetSP(StatementPattern node) throws Exception { // Only applies when the predicate is defined and reflexive final Var predVar = node.getPredicateVar(); if (predVar.getValue() != null && inferenceEngine.isReflexiveProperty((IRI) predVar.getValue())) { final StatementPattern originalSP = node.clone(); // The reflexive solution is a ZeroLengthPath between subject and // object: they can be matched to one another, whether constants or // variables. final Var subjVar = node.getSubjectVar(); final Var objVar = node.getObjectVar(); final ZeroLengthPath reflexiveSolution = new ZeroLengthPath(subjVar, objVar); node.replaceWith(new InferUnion(originalSP, reflexiveSolution)); } }
Example 2
Source File: TransitivePropertyVisitor.java From rya with Apache License 2.0 | 6 votes |
@Override protected void meetSP(final StatementPattern node) throws Exception { final StatementPattern sp = node.clone(); final Var predVar = sp.getPredicateVar(); final IRI pred = (IRI) predVar.getValue(); final String predNamespace = pred.getNamespace(); final Var objVar = sp.getObjectVar(); final Var cntxtVar = sp.getContextVar(); if (objVar != null && !RDF.NAMESPACE.equals(predNamespace) && !SESAME.NAMESPACE.equals(predNamespace) && !RDFS.NAMESPACE.equals(predNamespace) && !EXPANDED.equals(cntxtVar)) { final IRI transPropIri = (IRI) predVar.getValue(); if (inferenceEngine.isTransitiveProperty(transPropIri)) { node.replaceWith(new TransitivePropertySP(sp.getSubjectVar(), sp.getPredicateVar(), sp.getObjectVar(), sp.getContextVar())); } } }
Example 3
Source File: HalyardEvaluationStatistics.java From Halyard with Apache License 2.0 | 6 votes |
@Override protected double getCardinality(StatementPattern sp) { //always preffer HALYARD.SEARCH_TYPE object literals to move such statements higher in the joins tree Var objectVar = sp.getObjectVar(); if (objectVar.hasValue() && (objectVar.getValue() instanceof Literal) && HALYARD.SEARCH_TYPE.equals(((Literal) objectVar.getValue()).getDatatype())) { return 0.0001; } Double card = spcalc == null ? null : spcalc.getCardinality(sp, boundVars); if (card == null) { //fallback to default cardinality calculation card = (hasValue(sp.getSubjectVar(), boundVars) ? 1.0 : 10.0) * (hasValue(sp.getPredicateVar(), boundVars) ? 1.0 : 10.0) * (hasValue(sp.getObjectVar(), boundVars) ? 1.0 : 10.0) * (hasValue(sp.getContextVar(), boundVars) ? 1.0 : 10.0); } for (Var v : sp.getVarList()) { //decrease cardinality for each priority variable present if (v != null && priorityVariables.contains(v.getName())) card /= 1000000.0; } return card; }
Example 4
Source File: StatementMetadataNode.java From rya with Apache License 2.0 | 5 votes |
/** * Constructs a {@link StatementPattern} from the StatementPatterns * representing a reified query. This StatementPattern has as a subject, the * object of the StatementPattern containing the predicate * {@link RDF#SUBJECT}. This StatementPattern has as predicate, the object * of the StatementPattern containing the predicate {@link RDF#PREDICATE}. * This StatementPattern has as an object, the object of the * StatementPattern containing the predicate {@link RDF#OBJECT}. This method * also builds a map between all predicates that are not of the above type * and the object {@link Var}s they are associated with. This map contains * the user specified metadata properties and is used for comparison with * the metadata properties extracted from RyaStatements passed back by the * {@link RyaQueryEngine}. * * @param patterns * - collection of patterns representing a reified query */ private void setStatementPatternAndProperties(final Collection<StatementPattern> patterns) { final StatementPattern sp = new StatementPattern(); final Map<RyaIRI, Var> properties = new HashMap<>(); for (final StatementPattern pattern : patterns) { final RyaIRI predicate = new RyaIRI(pattern.getPredicateVar().getValue().toString()); if (!uriList.contains(predicate)) { final Var objVar = pattern.getObjectVar(); properties.put(predicate, objVar); continue; } if (predicate.equals(SUBJ_ID_URI)) { sp.setContextVar(pattern.getContextVar()); sp.setSubjectVar(pattern.getObjectVar()); } if (predicate.equals(PRED_ID_URI)) { sp.setPredicateVar(pattern.getObjectVar()); } if (predicate.equals(OBJ_ID_URI)) { sp.setObjectVar(pattern.getObjectVar()); } } this.statement = sp; this.properties = properties; }
Example 5
Source File: SymmetricPropertyVisitor.java From rya with Apache License 2.0 | 5 votes |
@Override protected void meetSP(StatementPattern node) throws Exception { StatementPattern sp = node.clone(); final Var predVar = sp.getPredicateVar(); IRI pred = (IRI) predVar.getValue(); String predNamespace = pred.getNamespace(); final Var objVar = sp.getObjectVar(); final Var cntxtVar = sp.getContextVar(); if (objVar != null && !RDF.NAMESPACE.equals(predNamespace) && !SESAME.NAMESPACE.equals(predNamespace) && !RDFS.NAMESPACE.equals(predNamespace) && !EXPANDED.equals(cntxtVar)) { /** * * { ?a ?pred ?b .}\n" + " UNION " + " { ?b ?pred ?a } */ IRI symmPropIri = (IRI) predVar.getValue(); if(inferenceEngine.isSymmetricProperty(symmPropIri)) { Var subjVar = sp.getSubjectVar(); Union union = new InferUnion(); union.setLeftArg(sp); union.setRightArg(new StatementPattern(objVar, predVar, subjVar, cntxtVar)); node.replaceWith(union); } } }
Example 6
Source File: GeoTemporalIndexSetProvider.java From rya with Apache License 2.0 | 5 votes |
private void discoverPatterns(final StatementPattern pattern, final List<QueryModelNode> unmatched) { final Var subj = pattern.getSubjectVar(); final Var objVar = pattern.getObjectVar(); patternMap.put(subj, pattern); objectPatterns.put(objVar, pattern); //check for existing filters. if(unmatchedFilters.containsKey(objVar)) { final Collection<FunctionCall> calls = unmatchedFilters.removeAll(objVar); for(final FunctionCall call : calls) { addFilter(call); matchedFilters.put(objVar, call); } } }
Example 7
Source File: AllValuesFromVisitor.java From rya with Apache License 2.0 | 5 votes |
/** * Checks whether the StatementPattern is a type query whose solutions could be inferred * by allValuesFrom inference, and if so, replaces the node with a union of itself and any * possible inference. */ @Override protected void meetSP(StatementPattern node) throws Exception { final Var subjVar = node.getSubjectVar(); final Var predVar = node.getPredicateVar(); final Var objVar = node.getObjectVar(); // Only applies to type queries where the type is defined if (predVar != null && RDF.TYPE.equals(predVar.getValue()) && objVar != null && objVar.getValue() instanceof Resource) { final Resource typeToInfer = (Resource) objVar.getValue(); Map<Resource, Set<IRI>> relevantAvfRestrictions = inferenceEngine.getAllValuesFromByValueType(typeToInfer); if (!relevantAvfRestrictions.isEmpty()) { // We can infer the queried type if, for an allValuesFrom restriction type // associated with the queried type, some anonymous neighboring node belongs to the // restriction type and has the node in question (subjVar) as a value for the // restriction's property. final Var avfTypeVar = new Var("t-" + UUID.randomUUID()); final Var avfPredVar = new Var("p-" + UUID.randomUUID()); final Var neighborVar = new Var("n-" + UUID.randomUUID()); neighborVar.setAnonymous(true); final StatementPattern membershipPattern = new DoNotExpandSP(neighborVar, new Var(RDF.TYPE.stringValue(), RDF.TYPE), avfTypeVar); final StatementPattern valuePattern = new StatementPattern(neighborVar, avfPredVar, subjVar); final InferJoin avfPattern = new InferJoin(membershipPattern, valuePattern); // Use a FixedStatementPattern to contain the appropriate (restriction, predicate) // pairs, and check each one against the general pattern. final FixedStatementPattern avfPropertyTypes = new FixedStatementPattern(avfTypeVar, new Var(OWL.ONPROPERTY.stringValue(), OWL.ONPROPERTY), avfPredVar); for (Resource avfRestrictionType : relevantAvfRestrictions.keySet()) { for (IRI avfProperty : relevantAvfRestrictions.get(avfRestrictionType)) { avfPropertyTypes.statements.add(new NullableStatementImpl(avfRestrictionType, OWL.ONPROPERTY, avfProperty)); } } final InferJoin avfInferenceQuery = new InferJoin(avfPropertyTypes, avfPattern); node.replaceWith(new InferUnion(node.clone(), avfInferenceQuery)); } } }
Example 8
Source File: SomeValuesFromVisitor.java From rya with Apache License 2.0 | 5 votes |
/** * Checks whether the StatementPattern is a type query whose solutions could be inferred by * someValuesFrom inference, and if so, replaces the node with a union of itself and any * possible inference. */ @Override protected void meetSP(StatementPattern node) throws Exception { final Var subjVar = node.getSubjectVar(); final Var predVar = node.getPredicateVar(); final Var objVar = node.getObjectVar(); // Only applies to type queries where the type is defined if (predVar != null && RDF.TYPE.equals(predVar.getValue()) && objVar != null && objVar.getValue() instanceof Resource) { final Resource typeToInfer = (Resource) objVar.getValue(); Map<Resource, Set<IRI>> relevantSvfRestrictions = inferenceEngine.getSomeValuesFromByRestrictionType(typeToInfer); if (!relevantSvfRestrictions.isEmpty()) { // We can infer the queried type if it is to a someValuesFrom restriction (or a // supertype of one), and the node in question (subjVar) is the subject of a triple // whose predicate is the restriction's property and whose object is an arbitrary // node of the restriction's value type. final Var valueTypeVar = new Var("t-" + UUID.randomUUID()); final Var svfPredVar = new Var("p-" + UUID.randomUUID()); final Var neighborVar = new Var("n-" + UUID.randomUUID()); neighborVar.setAnonymous(true); final StatementPattern membershipPattern = new DoNotExpandSP(neighborVar, new Var(RDF.TYPE.stringValue(), RDF.TYPE), valueTypeVar); final StatementPattern valuePattern = new StatementPattern(subjVar, svfPredVar, neighborVar); final InferJoin svfPattern = new InferJoin(membershipPattern, valuePattern); // Use a FixedStatementPattern to contain the appropriate (predicate, value type) // pairs, and check each one against the general pattern. final FixedStatementPattern svfPropertyTypes = new FixedStatementPattern(svfPredVar, new Var(OWL.SOMEVALUESFROM.stringValue(), OWL.SOMEVALUESFROM), valueTypeVar); for (Resource svfValueType : relevantSvfRestrictions.keySet()) { for (IRI svfProperty : relevantSvfRestrictions.get(svfValueType)) { svfPropertyTypes.statements.add(new NullableStatementImpl(svfProperty, OWL.SOMEVALUESFROM, svfValueType)); } } final InferJoin svfInferenceQuery = new InferJoin(svfPropertyTypes, svfPattern); node.replaceWith(new InferUnion(node.clone(), svfInferenceQuery)); } } }
Example 9
Source File: IntersectionOfVisitor.java From rya with Apache License 2.0 | 5 votes |
@Override protected void meetSP(final StatementPattern node) throws Exception { final StatementPattern currentNode = node.clone(); final Var subVar = node.getSubjectVar(); final Var predVar = node.getPredicateVar(); final Var objVar = node.getObjectVar(); final Var conVar = node.getContextVar(); if (predVar != null && objVar != null && objVar.getValue() != null && RDF.TYPE.equals(predVar.getValue()) && !EXPANDED.equals(conVar)) { final List<Set<Resource>> intersections = inferenceEngine.getIntersectionsImplying((IRI) objVar.getValue()); if (intersections != null && !intersections.isEmpty()) { final List<TupleExpr> joins = new ArrayList<>(); for (final Set<Resource> intersection : intersections) { final Set<Resource> sortedIntersection = new TreeSet<>(new ResourceComparator()); sortedIntersection.addAll(intersection); // Create a join tree of all statement patterns in the // current intersection. final TupleExpr joinTree = createJoinTree(new ArrayList<>(sortedIntersection), subVar, conVar); if (joinTree != null) { joins.add(joinTree); } } if (!joins.isEmpty()) { // Combine all the intersection join trees for the type // together into a union tree. This will be a join tree if // only one intersection exists. final TupleExpr unionTree = createUnionTree(joins); // Union the above union tree of intersections with the // original node. final Union union = new InferUnion(unionTree, currentNode); node.replaceWith(union); log.trace("Replacing node with inferred intersection union: " + union); } } } }
Example 10
Source File: InverseOfVisitor.java From rya with Apache License 2.0 | 5 votes |
@Override protected void meetSP(StatementPattern node) throws Exception { StatementPattern sp = node.clone(); final Var predVar = sp.getPredicateVar(); IRI pred = (IRI) predVar.getValue(); String predNamespace = pred.getNamespace(); final Var objVar = sp.getObjectVar(); final Var cntxtVar = sp.getContextVar(); if (objVar != null && !RDF.NAMESPACE.equals(predNamespace) && !SESAME.NAMESPACE.equals(predNamespace) && !RDFS.NAMESPACE.equals(predNamespace) && !EXPANDED.equals(cntxtVar)) { /** * * { ?a ?pred ?b .}\n" + " UNION " + " { ?b ?pred ?a } */ IRI predIri = (IRI) predVar.getValue(); IRI invPropIri = inferenceEngine.findInverseOf(predIri); if (invPropIri != null) { Var subjVar = sp.getSubjectVar(); Union union = new InferUnion(); union.setLeftArg(sp); union.setRightArg(new StatementPattern(objVar, new Var(predVar.getName(), invPropIri), subjVar, cntxtVar)); node.replaceWith(union); } } }
Example 11
Source File: FedXStatementPattern.java From rdf4j with BSD 3-Clause "New" or "Revised" License | 5 votes |
public FedXStatementPattern(StatementPattern node, QueryInfo queryInfo) { super(node.getSubjectVar(), node.getPredicateVar(), node.getObjectVar(), node.getContextVar()); setScope(node.getScope()); this.id = NodeFactory.getNextId(); this.queryInfo = queryInfo; initFreeVars(); }
Example 12
Source File: FluoStringConverter.java From rya with Apache License 2.0 | 5 votes |
/** * Provides a string representation of an SP which contains info about * whether each component (subj, pred, obj) is constant and its data and * data type if it is constant. * * @param sp - The statement pattern to convert. (not null) * @return A String representation of the statement pattern that may be * used to do triple matching. */ public static String toStatementPatternString(final StatementPattern sp) { checkNotNull(sp); final Var subjVar = sp.getSubjectVar(); String subj = subjVar.getName(); if(subjVar.getValue() != null) { final Value subjValue = subjVar.getValue(); subj = VarNameUtils.createSimpleConstVarName(subjVar); if (subjValue instanceof BNode ) { subj = subj + TYPE_DELIM + RyaSchema.BNODE_NAMESPACE + TYPE_DELIM + ((BNode) subjValue).getID(); } else { subj = subj + TYPE_DELIM + URI_TYPE; } } final Var predVar = sp.getPredicateVar(); String pred = predVar.getName(); if(predVar.getValue() != null) { pred = VarNameUtils.createSimpleConstVarName(predVar); pred = pred + TYPE_DELIM + URI_TYPE; } final Var objVar = sp.getObjectVar(); String obj = objVar.getName(); if (objVar.getValue() != null) { final Value objValue = objVar.getValue(); obj = VarNameUtils.createSimpleConstVarName(objVar); final RyaType rt = RdfToRyaConversions.convertValue(objValue); obj = obj + TYPE_DELIM + rt.getDataType().stringValue(); } return subj + DELIM + pred + DELIM + obj; }
Example 13
Source File: EmptyStatementPattern.java From CostFed with GNU Affero General Public License v3.0 | 4 votes |
public EmptyStatementPattern(StatementPattern node) { super(node.getSubjectVar(), node.getPredicateVar(), node.getObjectVar(), node.getContextVar()); }
Example 14
Source File: ConstructProjection.java From rya with Apache License 2.0 | 4 votes |
public ConstructProjection(StatementPattern pattern) { this(pattern.getSubjectVar(), pattern.getPredicateVar(), pattern.getObjectVar()); }
Example 15
Source File: PrepareOwnedTupleExpr.java From rdf4j with BSD 3-Clause "New" or "Revised" License | 4 votes |
@Override public void meet(StatementPattern node) throws RepositoryException { StringBuilder builder = new StringBuilder(); Scope scope = node.getScope(); Var subj = node.getSubjectVar(); Var pred = node.getPredicateVar(); Var obj = node.getObjectVar(); Var ctx = node.getContextVar(); boolean cokay = ctx == null && scope.equals(Scope.DEFAULT_CONTEXTS) || ctx != null && scope.equals(Scope.NAMED_CONTEXTS); boolean sokay = !subj.hasValue() || subj.isAnonymous() || subj.getValue() instanceof IRI; boolean ookay = !obj.hasValue() || obj.isAnonymous() || obj.getValue() instanceof IRI || obj.getValue() instanceof Literal; if (cokay && sokay && ookay) { variables.clear(); if (ctx != null) { builder.append("GRAPH "); appendVar(builder, ctx.getName()); builder.append(" {\n"); } appendVar(builder, subj); appendVar(builder, pred); appendVar(builder, obj); builder.append(" ."); appendFilter(builder, subj); appendFilter(builder, pred); appendFilter(builder, obj); if (ctx != null) { if (ctx.hasValue()) { builder.append("\nFILTER sameTerm("); appendVar(builder, ctx.getName()); builder.append(", "); writeValue(builder, ctx.getValue()); builder.append(")\n"); } builder.append("}"); } this.pattern = builder.toString(); this.patternNode = node; } else { this.patternNode = null; // NOPMD } }
Example 16
Source File: SpinMagicPropertyInterpreter.java From rdf4j with BSD 3-Clause "New" or "Revised" License | 4 votes |
private TupleExpr addList(List<? super Var> list, Var subj, Map<String, Map<IRI, List<StatementPattern>>> spIndex) { TupleExpr node = null; do { Map<IRI, List<StatementPattern>> predMap = spIndex.get(subj.getName()); if (predMap == null) { return null; } List<StatementPattern> firstStmts = predMap.get(RDF.FIRST); if (firstStmts == null) { return null; } if (firstStmts.size() != 1) { return null; } List<StatementPattern> restStmts = predMap.get(RDF.REST); if (restStmts == null) { return null; } if (restStmts.size() != 1) { return null; } StatementPattern firstStmt = firstStmts.get(0); list.add(firstStmt.getObjectVar()); node = join(node, firstStmt); StatementPattern restStmt = restStmts.get(0); subj = restStmt.getObjectVar(); node = join(node, restStmt); List<StatementPattern> typeStmts = predMap.get(RDF.TYPE); if (typeStmts != null) { for (StatementPattern sp : firstStmts) { Value type = sp.getObjectVar().getValue(); if (RDFS.RESOURCE.equals(type) || RDF.LIST.equals(type)) { node = join(node, sp); } } } } while (!RDF.NIL.equals(subj.getValue())); return node; }
Example 17
Source File: TrueStatementPattern.java From rdf4j with BSD 3-Clause "New" or "Revised" License | 4 votes |
public TrueStatementPattern(StatementPattern node) { super(node.getSubjectVar(), node.getPredicateVar(), node.getObjectVar(), node.getContextVar()); }
Example 18
Source File: EmptyStatementPattern.java From rdf4j with BSD 3-Clause "New" or "Revised" License | 4 votes |
public EmptyStatementPattern(StatementPattern node) { super(node.getSubjectVar(), node.getPredicateVar(), node.getObjectVar(), node.getContextVar()); }
Example 19
Source File: GeoTemporalIndexSetProvider.java From rya with Apache License 2.0 | 4 votes |
private EventQueryNode getGeoTemporalNode(final Var subj) { final Collection<StatementPattern> patterns = patternMap.get(subj); final Collection<FunctionCall> usedFilters = new ArrayList<>(); Optional<StatementPattern> geoPattern = Optional.empty(); Optional<StatementPattern> temporalPattern = Optional.empty(); Optional<Collection<IndexingExpr>> geoFilters = Optional.empty(); Optional<Collection<IndexingExpr>> temporalFilters = Optional.empty(); //should only be 2 patterns. for(final StatementPattern sp : patterns) { final Var obj = sp.getObjectVar(); ///filter map does not have _const_ if(filterMap.containsKey(obj)) { final Collection<IndexingExpr> filters = filterMap.get(obj); final IndexingFunctionRegistry.FUNCTION_TYPE type = ensureSameType(filters); if(type != null && type == FUNCTION_TYPE.GEO) { geoPattern = Optional.of(sp); geoFilters = Optional.of(filters); usedFilters.addAll(matchedFilters.get(obj)); } else if(type != null && type == FUNCTION_TYPE.TEMPORAL) { temporalPattern = Optional.of(sp); temporalFilters = Optional.of(filters); usedFilters.addAll(matchedFilters.get(obj)); } else { return null; } } else { return null; } } if(geoFilters.isPresent() && temporalFilters.isPresent() && geoPattern.isPresent() && temporalPattern.isPresent()) { return new EventQueryNodeBuilder() .setStorage(eventStorage) .setGeoPattern(geoPattern.get()) .setTemporalPattern(temporalPattern.get()) .setGeoFilters(geoFilters.get()) .setTemporalFilters(temporalFilters.get()) .setUsedFilters(usedFilters) .build(); } else { return null; } }
Example 20
Source File: SubClassOfVisitor.java From rya with Apache License 2.0 | 4 votes |
@Override protected void meetSP(final StatementPattern node) throws Exception { final StatementPattern sp = node.clone(); final Var predVar = sp.getPredicateVar(); final Var objVar = sp.getObjectVar(); final Var conVar = sp.getContextVar(); if (predVar != null && objVar != null && objVar.getValue() != null && RDF.TYPE.equals(predVar.getValue()) && !EXPANDED.equals(conVar)) { /** * ?type sesame:directSubClassOf ub:Student . ?student rdf:type ?type + */ // String s = UUID.randomUUID().toString(); // Var typeVar = new Var(s); // StatementPattern subClassOf = new StatementPattern(typeVar, new Var("c-" + s, SESAME.DIRECTSUBCLASSOF), objVar, SUBCLASS_EXPANDED); // StatementPattern rdfType = new StatementPattern(sp.getSubjectVar(), sp.getPredicateVar(), typeVar, SUBCLASS_EXPANDED); // InferJoin join = new InferJoin(subClassOf, rdfType); // join.getProperties().put(InferConstants.INFERRED, InferConstants.TRUE); // node.replaceWith(join); final IRI subclassof_iri = (IRI) objVar.getValue(); final Collection<IRI> parents = InferenceEngine.findParents(inferenceEngine.getSubClassOfGraph(), subclassof_iri); if (parents != null && parents.size() > 0) { final String s = UUID.randomUUID().toString(); final Var typeVar = new Var(s); final FixedStatementPattern fsp = new FixedStatementPattern(typeVar, new Var("c-" + s, RDFS.SUBCLASSOF), objVar, conVar); parents.add(subclassof_iri); for (final IRI iri : parents) { fsp.statements.add(new NullableStatementImpl(iri, RDFS.SUBCLASSOF, subclassof_iri)); } final StatementPattern rdfType = new DoNotExpandSP(sp.getSubjectVar(), sp.getPredicateVar(), typeVar, conVar); final InferJoin join = new InferJoin(fsp, rdfType); join.getProperties().put(InferConstants.INFERRED, InferConstants.TRUE); node.replaceWith(join); } // if (parents != null && parents.size() > 0) { // StatementPatterns statementPatterns = new StatementPatterns(); // statementPatterns.patterns.add(node); // Var subjVar = node.getSubjectVar(); // for (IRI iri : parents) { // statementPatterns.patterns.add(new StatementPattern(subjVar, predVar, new Var(objVar.getName(), iri))); // } // node.replaceWith(statementPatterns); // } // if (parents != null && parents.size() > 0) { // VarCollection vc = new VarCollection(); // vc.setName(objVar.getName()); // vc.values.add(objVar); // for (IRI iri : parents) { // vc.values.add(new Var(objVar.getName(), iri)); // } // Var subjVar = node.getSubjectVar(); // node.replaceWith(new StatementPattern(subjVar, predVar, vc, node.getContextVar())); // } } }