Java StatementPattern.getObjectVar方法代码示例

import org.openrdf.query.algebra.StatementPattern; //导入方法依赖的package包/类
/**
 * Transform a statement pattern according to OWL-2 subproperty axiom.
 *
 * @param node the node to transform
 * @return list of nodes to visit next
 */
@Override
public List<QueryModelNode> apply(StatementPattern node) {
	List<QueryModelNode> next = newNextList();
	StatementPattern left = node.clone();
	// replace the predicate with the subproperty
	StatementPattern right
			= new StatementPattern(
					node.getSubjectVar(),
					new ConstVar(vf.createURI(op1)),
					node.getObjectVar(),
					node.getContextVar());
	node.replaceWith(
			new Union(left, right));
	next.add(left);
	next.add(right);
	return next;
}
 

import org.openrdf.query.algebra.StatementPattern; //导入方法依赖的package包/类
/**
 * Transform a statement pattern according to OWL-2 inverse properties
 * axiom.
 *
 * @param node the node to transform
 * @return list of nodes to visit next
 */
@Override
public List<QueryModelNode> apply(StatementPattern node) {
	List<QueryModelNode> next = newNextList();
	Var s = node.getSubjectVar();
	Var p = node.getPredicateVar();
	Var o = node.getObjectVar();
	Var c = node.getContextVar();
	URI uri = (URI) p.getValue();
	String op = uri.stringValue();
	Var p2;
	// check if need to replace with op1 or op2
	if (op.equals(op1)) {
		p2 = new ConstVar(vf.createURI(op2));
	} else {
		p2 = new ConstVar(vf.createURI(op1));
	}
	StatementPattern left = node.clone();
	// switch subject and object and replace predicate
	StatementPattern right = new StatementPattern(o, p2, s, c);
	node.replaceWith(new Union(left, right));
	next.add(left);
	next.add(right);
	return next;
}
 

import org.openrdf.query.algebra.StatementPattern; //导入方法依赖的package包/类
@Override
protected void meetSP(final StatementPattern node) throws Exception {
    final StatementPattern sp = node.clone();
    final Var predVar = sp.getPredicateVar();

    final URI pred = (URI) 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 URI transPropUri = (URI) predVar.getValue();
        if (inferenceEngine.isTransitiveProperty(transPropUri)) {
            node.replaceWith(new TransitivePropertySP(sp.getSubjectVar(), sp.getPredicateVar(), sp.getObjectVar(), sp.getContextVar()));
        }
    }
}
 

import org.openrdf.query.algebra.StatementPattern; //导入方法依赖的package包/类
@Override
public void meet(final StatementPattern node) throws Exception {
    super.meet(node);

    final Var subjectVar = node.getSubjectVar();
    final RangeValue subjRange = rangeValues.get(subjectVar);
    final Var predVar = node.getPredicateVar();
    final RangeValue predRange = rangeValues.get(predVar);
    final Var objVar = node.getObjectVar();
    final RangeValue objRange = rangeValues.get(objVar);
    if(subjRange != null) {
        subjectVar.setValue(new RangeURI(subjRange));//Assumes no blank nodes can be ranges
    }
    if(predRange != null) {
        predVar.setValue(new RangeURI(predRange));
    }
    if(objRange != null) {
        objVar.setValue(objRange);
    }
}
 

import org.openrdf.query.algebra.StatementPattern; //导入方法依赖的package包/类
/**
 * Transform a statement pattern according to OWL-2 property chain
 * axiom.
 * 
 * @param node the node to transform
 * @return list of nodes to visit next
 */
@Override
public List<QueryModelNode> apply(StatementPattern node) {
	List<QueryModelNode> next = newNextList();
	Var s = node.getSubjectVar();
	Var o = node.getObjectVar();
	Var c = node.getContextVar();
	TupleExpr left  = node.clone();
	TupleExpr right = getChain(s, o, c);
	node.replaceWith(new Union(left, right));
	next.add(left);
	next.add(right);
	return next;
}
 

import org.openrdf.query.algebra.StatementPattern; //导入方法依赖的package包/类
private Rendering emit(final List<StatementPattern> bgp) {
    if (bgp.isEmpty()) {
        return this;
    }
    final Var c = bgp.get(0).getContextVar();
    if (c != null) {
        emit("GRAPH ").emit(c).emit(" ").openBrace();
    }
    StatementPattern l = null;
    for (final StatementPattern n : bgp) {
        final Var s = n.getSubjectVar();
        final Var p = n.getPredicateVar();
        final Var o = n.getObjectVar();
        if (l == null) {
            emit(s).emit(" ").emit(p).emit(" ").emit(o); // s p o
        } else if (!l.getSubjectVar().equals(n.getSubjectVar())) {
            emit(" .").newline().emit(s).emit(" ").emit(p).emit(" ").emit(o); // .\n s p o
        } else if (!l.getPredicateVar().equals(n.getPredicateVar())) {
            emit(" ;").newline().emit("\t").emit(p).emit(" ").emit(o); // ;\n\t p o
        } else if (!l.getObjectVar().equals(n.getObjectVar())) {
            emit(" , ").emit(o); // , o
        }
        l = n;
    }
    emit(" .");
    if (c != null) {
        closeBrace();
    }
    return this;
}
 

import org.openrdf.query.algebra.StatementPattern; //导入方法依赖的package包/类
@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((URI) 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);
            }
        }
    }
}
 

import org.openrdf.query.algebra.StatementPattern; //导入方法依赖的package包/类
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);
        }
    }
}
 

import org.openrdf.query.algebra.StatementPattern; //导入方法依赖的package包/类
/**
 * 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<URI>> 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 (URI 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));
        }
    }
}
 

import org.openrdf.query.algebra.StatementPattern; //导入方法依赖的package包/类
/**
 * 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<URI>> 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 (URI 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));
        }
    }
}
 

import org.openrdf.query.algebra.StatementPattern; //导入方法依赖的package包/类
/**
 * Given a StatementPattern, generate an object representing the arguments
 * to a "$match" command that will find matching triples.
 * @param sp The StatementPattern to search for
 * @param path If given, specify the field that should be matched against
 *  the statement pattern, using an ordered list of field names for a nested
 *  field. E.g. to match records { "x": { "y": <statement pattern } }, pass
 *  "x" followed by "y".
 * @return The argument of a "$match" query
 */
private static BasicDBObject getMatchExpression(StatementPattern sp, String ... path) {
    final Var subjVar = sp.getSubjectVar();
    final Var predVar = sp.getPredicateVar();
    final Var objVar = sp.getObjectVar();
    final Var contextVar = sp.getContextVar();
    RyaURI s = null;
    RyaURI p = null;
    RyaType o = null;
    RyaURI c = null;
    if (subjVar != null && subjVar.getValue() instanceof Resource) {
        s = RdfToRyaConversions.convertResource((Resource) subjVar.getValue());
    }
    if (predVar != null && predVar.getValue() instanceof URI) {
        p = RdfToRyaConversions.convertURI((URI) predVar.getValue());
    }
    if (objVar != null && objVar.getValue() != null) {
        o = RdfToRyaConversions.convertValue(objVar.getValue());
    }
    if (contextVar != null && contextVar.getValue() instanceof URI) {
        c = RdfToRyaConversions.convertURI((URI) contextVar.getValue());
    }
    RyaStatement rs = new RyaStatement(s, p, o, c);
    DBObject obj = strategy.getQuery(rs);
    // Add path prefix, if given
    if (path.length > 0) {
        StringBuilder sb = new StringBuilder();
        for (String str : path) {
            sb.append(str).append(".");
        }
        String prefix = sb.toString();
        Set<String> originalKeys = new HashSet<>(obj.keySet());
        originalKeys.forEach(key -> {
            Object value = obj.removeField(key);
            obj.put(prefix + key, value);
        });
    }
    return (BasicDBObject) obj;
}
 

import org.openrdf.query.algebra.StatementPattern; //导入方法依赖的package包/类
/**
 * 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) {
        Value subjValue = subjVar.getValue();
        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 = pred + TYPE_DELIM + URI_TYPE;
    }

    final Var objVar = sp.getObjectVar();
    String obj = objVar.getName();
    if (objVar.getValue() != null) {
        final RyaType rt = RdfToRyaConversions.convertValue(objVar.getValue());
        obj =  obj + TYPE_DELIM + rt.getDataType().stringValue();
    }

    return subj + DELIM + pred + DELIM + obj;
}
 

import org.openrdf.query.algebra.StatementPattern; //导入方法依赖的package包/类
@Override public void meet(final StatementPattern statement) {
    final Var object = statement.getObjectVar();
    if (propertyVars.contains(object)) {
        if (usedVars.contains(object)) {
            throw new IllegalArgumentException("Illegal search, variable is used multiple times as object: " + object.getName());
        } else {
            usedVars.add(object);
            matchStatements.add(statement);
        }
    }
}
 

import org.openrdf.query.algebra.StatementPattern; //导入方法依赖的package包/类
/**
 * 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(Collection<StatementPattern> patterns) {

    StatementPattern sp = new StatementPattern();
    Map<RyaURI, Var> properties = new HashMap<>();

    for (final StatementPattern pattern : patterns) {
        final RyaURI predicate = new RyaURI(pattern.getPredicateVar().getValue().toString());

        if (!uriList.contains(predicate)) {
            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;
}
 

import org.openrdf.query.algebra.StatementPattern; //导入方法依赖的package包/类
@Override
    protected void meetSP(final StatementPattern node) throws Exception {
        final StatementPattern sp = node.clone();
        final Var predVar = sp.getPredicateVar();

        final URI pred = (URI) 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)) {
            /**
             *
             * { ?subProp rdfs:subPropertyOf ub:worksFor . ?y ?subProp <http://www.Department0.University0.edu> }\n" +
             "       UNION " +
             "      { ?y ub:worksFor <http://www.Department0.University0.edu> }
             */
//            String s = UUID.randomUUID().toString();
//            Var subPropVar = new Var(s);
//            StatementPattern subPropOf = new StatementPattern(subPropVar, new Var("c-" + s, SESAME.DIRECTSUBPROPERTYOF), predVar, EXPANDED);
//            StatementPattern subPropOf2 = new StatementPattern(sp.getSubjectVar(), subPropVar, objVar, EXPANDED);
//            InferJoin join = new InferJoin(subPropOf, subPropOf2);
//            join.getProperties().put(InferConstants.INFERRED, InferConstants.TRUE);
//            node.replaceWith(join);

//            Collection<URI> parents = inferenceEngine.findParents(inferenceEngine.subPropertyOfGraph, (URI) predVar.getValue());
//            if (parents != null && parents.size() > 0) {
//                StatementPatterns statementPatterns = new StatementPatterns();
//                statementPatterns.patterns.add(node);
//                Var subjVar = node.getSubjectVar();
//                for (URI u : parents) {
//                    statementPatterns.patterns.add(new StatementPattern(subjVar, new Var(predVar.getName(), u), objVar));
//                }
//                node.replaceWith(statementPatterns);
//            }
//            if (parents != null && parents.size() > 0) {
//                VarCollection vc = new VarCollection();
//                vc.setName(predVar.getName());
//                vc.values.add(predVar);
//                for (URI u : parents) {
//                    vc.values.add(new Var(predVar.getName(), u));
//                }
//                Var subjVar = node.getSubjectVar();
//                node.replaceWith(new StatementPattern(subjVar, vc, objVar, node.getContextVar()));
//            }

            final URI subprop_uri = (URI) predVar.getValue();
            final Set<URI> parents = InferenceEngine.findParents(inferenceEngine.getSubPropertyOfGraph(), subprop_uri);
            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.SUBPROPERTYOF), predVar, cntxtVar);
//                fsp.statements.add(new NullableStatementImpl(subprop_uri, RDFS.SUBPROPERTYOF, subprop_uri));
                //add self
                parents.add(subprop_uri);
                for (final URI u : parents) {
                    fsp.statements.add(new NullableStatementImpl(u, RDFS.SUBPROPERTYOF, subprop_uri));
                }

                final StatementPattern rdfType = new DoNotExpandSP(sp.getSubjectVar(), typeVar, sp.getObjectVar(), cntxtVar);
                final InferJoin join = new InferJoin(fsp, rdfType);
                join.getProperties().put(InferConstants.INFERRED, InferConstants.TRUE);
                node.replaceWith(join);
            }
        }
    }