Examples with Graph org.apache.clerezza.commons.rdf.Graph used on opensource projects

Example 26 with Graph

use of org.apache.clerezza.commons.rdf.Graph in project stanbol by apache.

the class ClerezzaRuleStore method removeRecipe.

@Override
public boolean removeRecipe(IRI recipeID) throws RecipeEliminationException {
    // remove the recipe from the TcManager
    try {
        tcManager.deleteGraph(recipeID);
    } catch (NoSuchEntityException e) {
        throw new RecipeEliminationException(e);
    }
    Graph recipeIndexGraph = tcManager.getGraph(new IRI(recipeIndexLocation));
    Triple triple = new TripleImpl(recipeID, RDF.type, Symbols.Recipe);
    recipeIndexGraph.remove(triple);
    // System.out.println("Recipes: " +recipes.size());
    // remove the recipe ID from in-memory list
    recipes.remove(recipeID);
    return true;
}

Example 27 with Graph

use of org.apache.clerezza.commons.rdf.Graph in project stanbol by apache.

the class DBPSpotlightDisambiguateEnhancementEngine method computeEnhancements.

/**
	 * Calculate the enhancements by doing a POST request to the DBpedia
	 * Spotlight endpoint and processing the results
	 * 
	 * @param ci
	 *            the {@link ContentItem}
	 */
public void computeEnhancements(ContentItem ci) throws EngineException {
    Language language = SpotlightEngineUtils.getContentLanguage(ci);
    String text = SpotlightEngineUtils.getPlainContent(ci);
    // Retrieve the existing text annotations (requires read lock)
    Graph graph = ci.getMetadata();
    String xmlTextAnnotations = this.getSpottedXml(text, graph);
    Collection<Annotation> dbpslGraph = doPostRequest(text, xmlTextAnnotations, ci.getUri());
    if (dbpslGraph != null) {
        // Acquire a write lock on the ContentItem when adding the
        // enhancements
        ci.getLock().writeLock().lock();
        try {
            createEnhancements(dbpslGraph, ci, language);
            if (log.isDebugEnabled()) {
                Serializer serializer = Serializer.getInstance();
                ByteArrayOutputStream debugStream = new ByteArrayOutputStream();
                serializer.serialize(debugStream, ci.getMetadata(), "application/rdf+xml");
                try {
                    log.debug("DBpedia Enhancements:\n{}", debugStream.toString("UTF-8"));
                } catch (UnsupportedEncodingException e) {
                    e.printStackTrace();
                }
            }
        } finally {
            ci.getLock().writeLock().unlock();
        }
    }
}

Example 28 with Graph

use of org.apache.clerezza.commons.rdf.Graph in project stanbol by apache.

the class CeliSentimentAnalysisEngine method computeEnhancements.

@Override
public void computeEnhancements(ContentItem ci) throws EngineException {
    Entry<IRI, Blob> contentPart = ContentItemHelper.getBlob(ci, SUPPORTED_MIMTYPES);
    if (contentPart == null) {
        throw new IllegalStateException("No ContentPart with Mimetype '" + TEXT_PLAIN_MIMETYPE + "' found for ContentItem " + ci.getUri() + ": This is also checked in the canEnhance method! -> This " + "indicated an Bug in the implementation of the " + "EnhancementJobManager!");
    }
    String text = "";
    try {
        text = ContentItemHelper.getText(contentPart.getValue());
    } catch (IOException e) {
        throw new InvalidContentException(this, ci, e);
    }
    if (text.trim().length() == 0) {
        log.info("No text contained in ContentPart {" + contentPart.getKey() + "} of ContentItem {" + ci.getUri() + "}");
        return;
    }
    String language = EnhancementEngineHelper.getLanguage(ci);
    if (language == null) {
        throw new IllegalStateException("Unable to extract Language for " + "ContentItem " + ci.getUri() + ": This is also checked in the canEnhance " + "method! -> This indicated an Bug in the implementation of the " + "EnhancementJobManager!");
    }
    //used for the palin literals in TextAnnotations
    Language lang = new Language(language);
    try {
        List<SentimentExpression> lista = this.client.extractSentimentExpressions(text, language);
        LiteralFactory literalFactory = LiteralFactory.getInstance();
        Graph g = ci.getMetadata();
        for (SentimentExpression se : lista) {
            try {
                IRI textAnnotation = EnhancementEngineHelper.createTextEnhancement(ci, this);
                //add selected text as PlainLiteral in the language extracted from the text
                g.add(new TripleImpl(textAnnotation, ENHANCER_SELECTED_TEXT, new PlainLiteralImpl(se.getSnippetStr(), lang)));
                g.add(new TripleImpl(textAnnotation, DC_TYPE, CeliConstants.SENTIMENT_EXPRESSION));
                if (se.getStartSnippet() != null && se.getEndSnippet() != null) {
                    g.add(new TripleImpl(textAnnotation, ENHANCER_START, literalFactory.createTypedLiteral(se.getStartSnippet().intValue())));
                    g.add(new TripleImpl(textAnnotation, ENHANCER_END, literalFactory.createTypedLiteral(se.getEndSnippet().intValue())));
                    g.add(new TripleImpl(textAnnotation, ENHANCER_SELECTION_CONTEXT, new PlainLiteralImpl(getSelectionContext(text, se.getSnippetStr(), se.getStartSnippet()), lang)));
                    g.add(new TripleImpl(textAnnotation, CeliConstants.HAS_SENTIMENT_EXPRESSION_POLARITY, literalFactory.createTypedLiteral(se.getSentimentPolarityAsDoubleValue())));
                }
            } catch (NoConvertorException e) {
                log.error(e.getMessage(), e);
            }
        }
    } catch (IOException e) {
        throw new EngineException("Error while calling the CELI Sentiment Analysis service (configured URL: " + serviceURL + ")!", e);
    } catch (SOAPException e) {
        throw new EngineException("Error wile encoding/decoding the request/response to the CELI Sentiment Analysis service!", e);
    }
}

Example 29 with Graph

use of org.apache.clerezza.commons.rdf.Graph in project stanbol by apache.

the class TrackingDereferencerBase method copyLdPath.

/**
     * Executes the {@link #ldpathProgram} using the parsed URI as context and
     * writes the the results to the parsed ImmutableGraph
     * @param uri the context
     * @param rdfBackend the RdfBackend the LDPath program is executed on
     * @param ldpathProgram The {@link Program} parsed via the dereference context
     * @param langs the set of languages to dereference
     * @param graph the graph to store the results
     * @param writeLock the write lock for the graph
     * @throws DereferenceException on any {@link EntityhubException} while
     * executing the LDPath program
     */
private void copyLdPath(IRI uri, RDFBackend<Object> rdfBackend, Program<Object> ldpathProgram, Set<String> langs, Graph graph, Lock writeLock) throws DereferenceException {
    //A RdfReference needs to be used as context
    RdfReference context = valueFactory.createReference(uri);
    //create the representation that stores results in an intermediate
    //graph (we do not want partial results on an error
    Graph ldPathResults = new SimpleGraph();
    RdfRepresentation result = valueFactory.createRdfRepresentation(uri, ldPathResults);
    //execute the LDPath Program and write results to the RDF ImmutableGraph
    try {
        for (org.apache.marmotta.ldpath.model.fields.FieldMapping<?, Object> mapping : ldpathProgram.getFields()) {
            Collection<?> values;
            try {
                values = mapping.getValues(rdfBackend, context);
            } catch (RuntimeException e) {
                throw new DereferenceException(uri, e);
            }
            if (values != null && !values.isEmpty()) {
                String fieldName = mapping.getFieldName();
                if (langs == null || langs.isEmpty()) {
                    result.add(fieldName, values);
                } else {
                    //filter for languages
                    for (Object value : values) {
                        if ((!(value instanceof Text)) || langs.contains(((Text) value).getLanguage())) {
                            result.add(fieldName, value);
                        }
                    //else text with filtered language ... do not add
                    }
                }
            }
        }
    } catch (EntityhubException e) {
        throw new DereferenceException(uri, e);
    }
    if (log.isTraceEnabled()) {
        log.trace("dereferenced via LDPath {}", ModelUtils.getRepresentationInfo(result));
    }
    if (!ldPathResults.isEmpty()) {
        //copy the results
        writeLock.lock();
        try {
            graph.addAll(ldPathResults);
        } finally {
            writeLock.unlock();
        }
    }
}

Example 30 with Graph

use of org.apache.clerezza.commons.rdf.Graph in project stanbol by apache.

the class CeliNamedEntityExtractionEnhancementEngine method computeEnhancements.

@Override
public void computeEnhancements(ContentItem ci) throws EngineException {
    Entry<IRI, Blob> contentPart = ContentItemHelper.getBlob(ci, SUPPORTED_MIMTYPES);
    if (contentPart == null) {
        throw new IllegalStateException("No ContentPart with Mimetype '" + TEXT_PLAIN_MIMETYPE + "' found for ContentItem " + ci.getUri() + ": This is also checked in the canEnhance method! -> This " + "indicated an Bug in the implementation of the " + "EnhancementJobManager!");
    }
    String text = "";
    try {
        text = ContentItemHelper.getText(contentPart.getValue());
    } catch (IOException e) {
        throw new InvalidContentException(this, ci, e);
    }
    if (text.trim().length() == 0) {
        log.info("No text contained in ContentPart {" + contentPart.getKey() + "} of ContentItem {" + ci.getUri() + "}");
        return;
    }
    String language = EnhancementEngineHelper.getLanguage(ci);
    if (language == null) {
        throw new IllegalStateException("Unable to extract Language for " + "ContentItem " + ci.getUri() + ": This is also checked in the canEnhance " + "method! -> This indicated an Bug in the implementation of the " + "EnhancementJobManager!");
    }
    //used for the palin literals in TextAnnotations
    Language lang = new Language(language);
    try {
        List<NamedEntity> lista = this.client.extractEntities(text, language);
        LiteralFactory literalFactory = LiteralFactory.getInstance();
        Graph g = ci.getMetadata();
        for (NamedEntity ne : lista) {
            try {
                IRI textAnnotation = EnhancementEngineHelper.createTextEnhancement(ci, this);
                //add selected text as PlainLiteral in the language extracted from the text
                g.add(new TripleImpl(textAnnotation, ENHANCER_SELECTED_TEXT, new PlainLiteralImpl(ne.getFormKind(), lang)));
                g.add(new TripleImpl(textAnnotation, DC_TYPE, getEntityRefForType(ne.type)));
                if (ne.getFrom() != null && ne.getTo() != null) {
                    g.add(new TripleImpl(textAnnotation, ENHANCER_START, literalFactory.createTypedLiteral(ne.getFrom().intValue())));
                    g.add(new TripleImpl(textAnnotation, ENHANCER_END, literalFactory.createTypedLiteral(ne.getTo().intValue())));
                    g.add(new TripleImpl(textAnnotation, ENHANCER_SELECTION_CONTEXT, new PlainLiteralImpl(getSelectionContext(text, ne.getFormKind(), ne.getFrom().intValue()), lang)));
                }
            } catch (NoConvertorException e) {
                log.error(e.getMessage(), e);
            }
        }
    } catch (IOException e) {
        throw new EngineException("Error while calling the CELI NER (Named Entity Recognition)" + " service (configured URL: " + serviceURL + ")!", e);
    } catch (SOAPException e) {
        throw new EngineException("Error wile encoding/decoding the request/" + "response to the CELI NER (Named Entity Recognition) service!", e);
    }
}