Mercurial > hg > svcore
view rdf/RDFImporter.cpp @ 577:f9cf4b49b08b sv-v1.5
* debug tidy
author | Chris Cannam |
---|---|
date | Mon, 16 Mar 2009 16:41:42 +0000 |
parents | 1d7ebc05157e |
children | 2e0c987a12bd |
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/* -*- c-basic-offset: 4 indent-tabs-mode: nil -*- vi:set ts=8 sts=4 sw=4: */ /* Sonic Visualiser An audio file viewer and annotation editor. Centre for Digital Music, Queen Mary, University of London. This file copyright 2008 QMUL. This program is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 2 of the License, or (at your option) any later version. See the file COPYING included with this distribution for more information. */ #include "RDFImporter.h" #include <map> #include <vector> #include <iostream> #include <cmath> #include "SimpleSPARQLQuery.h" #include "base/ProgressReporter.h" #include "base/RealTime.h" #include "data/model/SparseOneDimensionalModel.h" #include "data/model/SparseTimeValueModel.h" #include "data/model/EditableDenseThreeDimensionalModel.h" #include "data/model/NoteModel.h" #include "data/model/TextModel.h" #include "data/model/RegionModel.h" #include "data/model/WaveFileModel.h" #include "data/fileio/FileSource.h" #include "data/fileio/CachedFile.h" #ifndef NO_SV_GUI #include "widgets/FileFinder.h" #endif using std::cerr; using std::endl; class RDFImporterImpl { public: RDFImporterImpl(QString url, int sampleRate); virtual ~RDFImporterImpl(); void setSampleRate(int sampleRate) { m_sampleRate = sampleRate; } bool isOK(); QString getErrorString() const; std::vector<Model *> getDataModels(ProgressReporter *); protected: QString m_uristring; QString m_errorString; std::map<QString, Model *> m_audioModelMap; int m_sampleRate; static bool m_prefixesLoaded; static void loadPrefixes(ProgressReporter *reporter); void getDataModelsAudio(std::vector<Model *> &, ProgressReporter *); void getDataModelsSparse(std::vector<Model *> &, ProgressReporter *); void getDataModelsDense(std::vector<Model *> &, ProgressReporter *); void getDenseModelTitle(Model *, QString, QString); void getDenseFeatureProperties(QString featureUri, int &sampleRate, int &windowLength, int &hopSize, int &width, int &height); void fillModel(Model *, long, long, bool, std::vector<float> &, QString); }; bool RDFImporterImpl::m_prefixesLoaded = false; QString RDFImporter::getKnownExtensions() { return "*.rdf *.n3 *.ttl"; } RDFImporter::RDFImporter(QString url, int sampleRate) : m_d(new RDFImporterImpl(url, sampleRate)) { } RDFImporter::~RDFImporter() { delete m_d; } void RDFImporter::setSampleRate(int sampleRate) { m_d->setSampleRate(sampleRate); } bool RDFImporter::isOK() { return m_d->isOK(); } QString RDFImporter::getErrorString() const { return m_d->getErrorString(); } std::vector<Model *> RDFImporter::getDataModels(ProgressReporter *r) { return m_d->getDataModels(r); } RDFImporterImpl::RDFImporterImpl(QString uri, int sampleRate) : m_uristring(uri), m_sampleRate(sampleRate) { } RDFImporterImpl::~RDFImporterImpl() { SimpleSPARQLQuery::closeSingleSource(m_uristring); } bool RDFImporterImpl::isOK() { return (m_errorString == ""); } QString RDFImporterImpl::getErrorString() const { return m_errorString; } std::vector<Model *> RDFImporterImpl::getDataModels(ProgressReporter *reporter) { loadPrefixes(reporter); std::vector<Model *> models; getDataModelsAudio(models, reporter); if (m_sampleRate == 0) { std::cerr << "RDFImporter::getDataModels: invalid sample rate" << std::endl; return models; } QString error; if (m_errorString != "") { error = m_errorString; } m_errorString = ""; getDataModelsDense(models, reporter); if (m_errorString != "") { error = m_errorString; } m_errorString = ""; getDataModelsSparse(models, reporter); if (m_errorString == "" && error != "") { m_errorString = error; } return models; } void RDFImporterImpl::getDataModelsAudio(std::vector<Model *> &models, ProgressReporter *reporter) { SimpleSPARQLQuery query = SimpleSPARQLQuery (SimpleSPARQLQuery::QueryFromSingleSource, QString ( " PREFIX mo: <http://purl.org/ontology/mo/> " " SELECT ?signal ?source FROM <%1> " " WHERE { ?signal a mo:Signal ; mo:available_as ?source } " ) .arg(m_uristring)); SimpleSPARQLQuery::ResultList results = query.execute(); for (int i = 0; i < results.size(); ++i) { QString signal = results[i]["signal"].value; QString source = results[i]["source"].value; FileSource *fs = new FileSource(source, reporter); #ifdef NO_SV_GUI if (!fs->isAvailable()) { m_errorString = QString("Signal source \"%1\" is not available").arg(source); delete fs; continue; } #else if (!fs->isAvailable()) { FileFinder *ff = FileFinder::getInstance(); QString path = ff->find(FileFinder::AudioFile, fs->getLocation(), m_uristring); if (path != "") { delete fs; fs = new FileSource(path, reporter); if (!fs->isAvailable()) { delete fs; m_errorString = QString("Signal source \"%1\" is not available").arg(source); continue; } } } #endif if (reporter) { reporter->setMessage(RDFImporter::tr("Importing audio referenced in RDF...")); } fs->waitForData(); WaveFileModel *newModel = new WaveFileModel(*fs, m_sampleRate); if (newModel->isOK()) { std::cerr << "Successfully created wave file model from source at \"" << source.toStdString() << "\"" << std::endl; models.push_back(newModel); m_audioModelMap[signal] = newModel; if (m_sampleRate == 0) { m_sampleRate = newModel->getSampleRate(); } } else { m_errorString = QString("Failed to create wave file model from source at \"%1\"").arg(source); delete newModel; } delete fs; } } void RDFImporterImpl::getDataModelsDense(std::vector<Model *> &models, ProgressReporter *reporter) { if (reporter) { reporter->setMessage(RDFImporter::tr("Importing dense signal data from RDF...")); } SimpleSPARQLQuery query = SimpleSPARQLQuery (SimpleSPARQLQuery::QueryFromSingleSource, QString ( " PREFIX mo: <http://purl.org/ontology/mo/>" " PREFIX af: <http://purl.org/ontology/af/>" " SELECT ?feature ?feature_signal_type ?value " " FROM <%1> " " WHERE { " " ?signal af:signal_feature ?feature . " " ?feature a ?feature_signal_type ; " " af:value ?value . " " } " ) .arg(m_uristring)); SimpleSPARQLQuery::ResultList results = query.execute(); if (!query.isOK()) { m_errorString = query.getErrorString(); return; } if (query.wasCancelled()) { m_errorString = "Query cancelled"; return; } for (int i = 0; i < results.size(); ++i) { QString feature = results[i]["feature"].value; QString type = results[i]["feature_signal_type"].value; QString value = results[i]["value"].value; int sampleRate = 0; int windowLength = 0; int hopSize = 0; int width = 0; int height = 0; getDenseFeatureProperties (feature, sampleRate, windowLength, hopSize, width, height); if (sampleRate != 0 && sampleRate != m_sampleRate) { cerr << "WARNING: Sample rate in dense feature description does not match our underlying rate -- using rate from feature description" << endl; } if (sampleRate == 0) sampleRate = m_sampleRate; if (hopSize == 0) { cerr << "WARNING: Dense feature description does not specify a hop size -- assuming 1" << endl; hopSize = 1; } if (height == 0) { cerr << "WARNING: Dense feature description does not specify feature signal dimensions -- assuming one-dimensional (height = 1)" << endl; height = 1; } QStringList values = value.split(' ', QString::SkipEmptyParts); if (values.empty()) { cerr << "WARNING: Dense feature description does not specify any values!" << endl; continue; } if (height == 1) { SparseTimeValueModel *m = new SparseTimeValueModel (sampleRate, hopSize, false); for (int j = 0; j < values.size(); ++j) { float f = values[j].toFloat(); SparseTimeValueModel::Point point(j * hopSize, f, ""); m->addPoint(point); } getDenseModelTitle(m, feature, type); m->setRDFTypeURI(type); models.push_back(m); } else { EditableDenseThreeDimensionalModel *m = new EditableDenseThreeDimensionalModel (sampleRate, hopSize, height, EditableDenseThreeDimensionalModel::NoCompression, false); EditableDenseThreeDimensionalModel::Column column; int x = 0; for (int j = 0; j < values.size(); ++j) { if (j % height == 0 && !column.empty()) { m->setColumn(x++, column); column.clear(); } column.push_back(values[j].toFloat()); } if (!column.empty()) { m->setColumn(x++, column); } getDenseModelTitle(m, feature, type); m->setRDFTypeURI(type); models.push_back(m); } } } void RDFImporterImpl::getDenseModelTitle(Model *m, QString featureUri, QString featureTypeUri) { QString titleQuery = QString ( " PREFIX dc: <http://purl.org/dc/elements/1.1/> " " SELECT ?title " " FROM <%1> " " WHERE { " " <%2> dc:title ?title . " " } " ).arg(m_uristring); SimpleSPARQLQuery::Value v; v = SimpleSPARQLQuery::singleResultQuery (SimpleSPARQLQuery::QueryFromSingleSource, titleQuery.arg(featureUri), "title"); if (v.value != "") { std::cerr << "RDFImporterImpl::getDenseModelTitle: Title (from signal) \"" << v.value.toStdString() << "\"" << std::endl; m->setObjectName(v.value); return; } v = SimpleSPARQLQuery::singleResultQuery (SimpleSPARQLQuery::QueryFromSingleSource, titleQuery.arg(featureTypeUri), "title"); if (v.value != "") { std::cerr << "RDFImporterImpl::getDenseModelTitle: Title (from signal type) \"" << v.value.toStdString() << "\"" << std::endl; m->setObjectName(v.value); return; } std::cerr << "RDFImporterImpl::getDenseModelTitle: No title available for feature <" << featureUri.toStdString() << ">" << std::endl; } void RDFImporterImpl::getDenseFeatureProperties(QString featureUri, int &sampleRate, int &windowLength, int &hopSize, int &width, int &height) { SimpleSPARQLQuery::QueryType s = SimpleSPARQLQuery::QueryFromSingleSource; QString dimensionsQuery ( " PREFIX mo: <http://purl.org/ontology/mo/>" " PREFIX af: <http://purl.org/ontology/af/>" " SELECT ?dimensions " " FROM <%1> " " WHERE { " " <%2> af:dimensions ?dimensions . " " } " ); SimpleSPARQLQuery::Value dimensionsValue = SimpleSPARQLQuery::singleResultQuery (s, dimensionsQuery.arg(m_uristring).arg(featureUri), "dimensions"); cerr << "Dimensions = \"" << dimensionsValue.value.toStdString() << "\"" << endl; if (dimensionsValue.value != "") { QStringList dl = dimensionsValue.value.split(" "); if (dl.empty()) dl.push_back(dimensionsValue.value); if (dl.size() > 0) height = dl[0].toInt(); if (dl.size() > 1) width = dl[1].toInt(); } QString queryTemplate ( " PREFIX mo: <http://purl.org/ontology/mo/>" " PREFIX af: <http://purl.org/ontology/af/>" " PREFIX tl: <http://purl.org/NET/c4dm/timeline.owl#>" " SELECT ?%3 " " FROM <%1> " " WHERE { " " <%2> mo:time ?time . " " ?time a tl:Interval ; " " tl:onTimeLine ?timeline . " " ?map tl:rangeTimeLine ?timeline . " " ?map tl:%3 ?%3 . " " } " ); // Another laborious workaround for rasqal's failure to handle // multiple optionals properly SimpleSPARQLQuery::Value srValue = SimpleSPARQLQuery::singleResultQuery(s, queryTemplate .arg(m_uristring).arg(featureUri) .arg("sampleRate"), "sampleRate"); if (srValue.value != "") { sampleRate = srValue.value.toInt(); } SimpleSPARQLQuery::Value hopValue = SimpleSPARQLQuery::singleResultQuery(s, queryTemplate .arg(m_uristring).arg(featureUri) .arg("hopSize"), "hopSize"); if (srValue.value != "") { hopSize = hopValue.value.toInt(); } SimpleSPARQLQuery::Value winValue = SimpleSPARQLQuery::singleResultQuery(s, queryTemplate .arg(m_uristring).arg(featureUri) .arg("windowLength"), "windowLength"); if (winValue.value != "") { windowLength = winValue.value.toInt(); } cerr << "sr = " << sampleRate << ", hop = " << hopSize << ", win = " << windowLength << endl; } void RDFImporterImpl::getDataModelsSparse(std::vector<Model *> &models, ProgressReporter *reporter) { if (reporter) { reporter->setMessage(RDFImporter::tr("Importing event data from RDF...")); } SimpleSPARQLQuery::QueryType s = SimpleSPARQLQuery::QueryFromSingleSource; // Our query is intended to retrieve every thing that has a time, // and every feature type and value associated with a thing that // has a time. // We will then need to refine this big bag of results into a set // of data models. // Results that have different source signals should go into // different models. // Results that have different feature types should go into // different models. // Results that are sparse should go into different models from // those that are dense (we need to examine the timestamps to // establish this -- if the timestamps are regular, the results // are dense -- so we can't do it as we go along, only after // collecting all results). // Timed things that have features associated with them should not // appear directly in any model -- their features should appear // instead -- and these should be different models from those used // for timed things that do not have features. // As we load the results, we'll push them into a partially // structured container that maps from source signal (URI as // string) -> feature type (likewise) -> time -> list of values. // If the source signal or feature type is unavailable, the empty // string will do. QString prefixes = QString( " PREFIX event: <http://purl.org/NET/c4dm/event.owl#>" " PREFIX tl: <http://purl.org/NET/c4dm/timeline.owl#>" " PREFIX mo: <http://purl.org/ontology/mo/>" " PREFIX af: <http://purl.org/ontology/af/>" " PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>" ); QString queryString = prefixes + QString( " SELECT ?signal ?timed_thing ?event_type ?value" " FROM <%1>" " WHERE {" " ?signal a mo:Signal ." " ?signal mo:time ?interval ." " ?interval tl:onTimeLine ?tl ." " ?time tl:onTimeLine ?tl ." " ?timed_thing event:time ?time ." " ?timed_thing a ?event_type ." " OPTIONAL {" " ?timed_thing af:feature ?value" " }" " }" ).arg(m_uristring); QString timeQueryString = prefixes + QString( " SELECT ?time FROM <%1> " " WHERE { " " <%2> event:time ?t . " " ?t tl:at ?time . " " } " ).arg(m_uristring); QString rangeQueryString = prefixes + QString( " SELECT ?time ?duration FROM <%1> " " WHERE { " " <%2> event:time ?t . " " ?t tl:beginsAt ?time . " " ?t tl:duration ?duration . " " } " ).arg(m_uristring); QString labelQueryString = prefixes + QString( " SELECT ?label FROM <%1> " " WHERE { " " <%2> rdfs:label ?label . " " } " ).arg(m_uristring); QString textQueryString = prefixes + QString( " SELECT ?label FROM <%1> " " WHERE { " " <%2> af:text ?label . " " } " ).arg(m_uristring); SimpleSPARQLQuery query(s, queryString); query.setProgressReporter(reporter); // cerr << "Query will be: " << queryString.toStdString() << endl; SimpleSPARQLQuery::ResultList results = query.execute(); if (!query.isOK()) { m_errorString = query.getErrorString(); return; } if (query.wasCancelled()) { m_errorString = "Query cancelled"; return; } /* This function is now only used for sparse data (for dense data we would be in getDataModelsDense instead). For sparse data, the determining factors in deciding what model to use are: Do the features have values? and Do the features have duration? We can run through the results and check off whether we find values and duration for each of the source+type keys, and then run through the source+type keys pushing each of the results into a suitable model. Unfortunately, at this point we do not yet have any actual timing data (time/duration) -- just the time URI. What we _could_ do is to create one of each type of model at the start, for each of the source+type keys, and then push each feature into the relevant model depending on what we find out about it. Then return only non-empty models. */ // Map from signal source to event type to dimensionality to // presence of duration to model ptr. Whee! std::map<QString, std::map<QString, std::map<int, std::map<bool, Model *> > > > modelMap; for (int i = 0; i < results.size(); ++i) { if (i % 4 == 0) { if (reporter) reporter->setProgress(i/4); } QString source = results[i]["signal"].value; QString type = results[i]["event_type"].value; QString thinguri = results[i]["timed_thing"].value; RealTime time; RealTime duration; bool haveTime = false; bool haveDuration = false; QString label = ""; bool text = (type.contains("Text") || type.contains("text")); // Ha, ha if (text) { label = SimpleSPARQLQuery::singleResultQuery (s, textQueryString.arg(thinguri), "label").value; } if (label == "") { label = SimpleSPARQLQuery::singleResultQuery (s, labelQueryString.arg(thinguri), "label").value; } SimpleSPARQLQuery rangeQuery(s, rangeQueryString.arg(thinguri)); SimpleSPARQLQuery::ResultList rangeResults = rangeQuery.execute(); if (!rangeResults.empty()) { // std::cerr << rangeResults.size() << " range results" << std::endl; time = RealTime::fromXsdDuration (rangeResults[0]["time"].value.toStdString()); duration = RealTime::fromXsdDuration (rangeResults[0]["duration"].value.toStdString()); // std::cerr << "duration string " << rangeResults[0]["duration"].value.toStdString() << std::endl; haveTime = true; haveDuration = true; } else { QString timestring = SimpleSPARQLQuery::singleResultQuery (s, timeQueryString.arg(thinguri), "time").value; // std::cerr << "timestring = " << timestring.toStdString() << std::endl; if (timestring != "") { time = RealTime::fromXsdDuration(timestring.toStdString()); haveTime = true; } } QString valuestring = results[i]["value"].value; std::vector<float> values; if (valuestring != "") { QStringList vsl = valuestring.split(" ", QString::SkipEmptyParts); for (int j = 0; j < vsl.size(); ++j) { bool success = false; float v = vsl[j].toFloat(&success); if (success) values.push_back(v); } } int dimensions = 1; if (values.size() == 1) dimensions = 2; else if (values.size() > 1) dimensions = 3; Model *model = 0; if (modelMap[source][type][dimensions].find(haveDuration) == modelMap[source][type][dimensions].end()) { /* std::cerr << "Creating new model: source = " << source.toStdString() << ", type = " << type.toStdString() << ", dimensions = " << dimensions << ", haveDuration = " << haveDuration << ", time = " << time << ", duration = " << duration << std::endl; */ if (!haveDuration) { if (dimensions == 1) { if (text) { model = new TextModel(m_sampleRate, 1, false); } else { model = new SparseOneDimensionalModel(m_sampleRate, 1, false); } } else if (dimensions == 2) { if (text) { model = new TextModel(m_sampleRate, 1, false); } else { model = new SparseTimeValueModel(m_sampleRate, 1, false); } } else { // We don't have a three-dimensional sparse model, // so use a note model. We do have some logic (in // extractStructure below) for guessing whether // this should after all have been a dense model, // but it's hard to apply it because we don't have // all the necessary timing data yet... hmm model = new NoteModel(m_sampleRate, 1, false); } } else { // haveDuration if (dimensions == 1 || dimensions == 2) { // If our units are frequency or midi pitch, we // should be using a note model... hm model = new RegionModel(m_sampleRate, 1, false); } else { // We don't have a three-dimensional sparse model, // so use a note model. We do have some logic (in // extractStructure below) for guessing whether // this should after all have been a dense model, // but it's hard to apply it because we don't have // all the necessary timing data yet... hmm model = new NoteModel(m_sampleRate, 1, false); } } model->setRDFTypeURI(type); if (m_audioModelMap.find(source) != m_audioModelMap.end()) { std::cerr << "source model for " << model << " is " << m_audioModelMap[source] << std::endl; model->setSourceModel(m_audioModelMap[source]); } QString titleQuery = QString ( " PREFIX dc: <http://purl.org/dc/elements/1.1/> " " SELECT ?title " " FROM <%1> " " WHERE { " " <%2> dc:title ?title . " " } " ).arg(m_uristring).arg(type); QString title = SimpleSPARQLQuery::singleResultQuery (s, titleQuery, "title").value; if (title != "") model->setObjectName(title); modelMap[source][type][dimensions][haveDuration] = model; models.push_back(model); } model = modelMap[source][type][dimensions][haveDuration]; if (model) { long ftime = RealTime::realTime2Frame(time, m_sampleRate); long fduration = RealTime::realTime2Frame(duration, m_sampleRate); fillModel(model, ftime, fduration, haveDuration, values, label); } } } void RDFImporterImpl::fillModel(Model *model, long ftime, long fduration, bool haveDuration, std::vector<float> &values, QString label) { // std::cerr << "RDFImporterImpl::fillModel: adding point at frame " << ftime << std::endl; SparseOneDimensionalModel *sodm = dynamic_cast<SparseOneDimensionalModel *>(model); if (sodm) { SparseOneDimensionalModel::Point point(ftime, label); sodm->addPoint(point); return; } TextModel *tm = dynamic_cast<TextModel *>(model); if (tm) { TextModel::Point point (ftime, values.empty() ? 0.5f : values[0] < 0.f ? 0.f : values[0] > 1.f ? 1.f : values[0], // I was young and feckless once too label); tm->addPoint(point); return; } SparseTimeValueModel *stvm = dynamic_cast<SparseTimeValueModel *>(model); if (stvm) { SparseTimeValueModel::Point point (ftime, values.empty() ? 0.f : values[0], label); stvm->addPoint(point); return; } NoteModel *nm = dynamic_cast<NoteModel *>(model); if (nm) { if (haveDuration) { float value = 0.f, level = 1.f; if (!values.empty()) { value = values[0]; if (values.size() > 1) { level = values[1]; } } NoteModel::Point point(ftime, value, fduration, level, label); nm->addPoint(point); } else { float value = 0.f, duration = 1.f, level = 1.f; if (!values.empty()) { value = values[0]; if (values.size() > 1) { duration = values[1]; if (values.size() > 2) { level = values[2]; } } } NoteModel::Point point(ftime, value, duration, level, label); nm->addPoint(point); } return; } RegionModel *rm = dynamic_cast<RegionModel *>(model); if (rm) { if (haveDuration) { RegionModel::Point point (ftime, values.empty() ? 0.f : values[0], fduration, label); rm->addPoint(point); } else { // This won't actually happen -- we only create region models // if we do have duration -- but just for completeness float value = 0.f, duration = 1.f; if (!values.empty()) { value = values[0]; if (values.size() > 1) { duration = values[1]; } } RegionModel::Point point(ftime, value, duration, label); rm->addPoint(point); } return; } std::cerr << "WARNING: RDFImporterImpl::fillModel: Unknown or unexpected model type" << std::endl; return; } RDFImporter::RDFDocumentType RDFImporter::identifyDocumentType(QString url) { bool haveAudio = false; bool haveAnnotations = false; // This query is not expected to return any values, but if it // executes successfully (leaving no error in the error string) // then we know we have RDF SimpleSPARQLQuery q(SimpleSPARQLQuery::QueryFromSingleSource, QString(" SELECT ?x FROM <%1> WHERE { ?x <y> <z> } ") .arg(url)); SimpleSPARQLQuery::ResultList r = q.execute(); if (!q.isOK()) { SimpleSPARQLQuery::closeSingleSource(url); return NotRDF; } SimpleSPARQLQuery::Value value = SimpleSPARQLQuery::singleResultQuery (SimpleSPARQLQuery::QueryFromSingleSource, QString (" PREFIX mo: <http://purl.org/ontology/mo/> " " SELECT ?url FROM <%1> " " WHERE { ?signal a mo:Signal ; mo:available_as ?url } " ).arg(url), "url"); if (value.type == SimpleSPARQLQuery::URIValue) { haveAudio = true; } value = SimpleSPARQLQuery::singleResultQuery (SimpleSPARQLQuery::QueryFromSingleSource, QString (" PREFIX event: <http://purl.org/NET/c4dm/event.owl#> " " SELECT ?thing FROM <%1> " " WHERE { ?thing event:time ?time } " ).arg(url), "thing"); if (value.type == SimpleSPARQLQuery::URIValue) { haveAnnotations = true; } if (!haveAnnotations) { value = SimpleSPARQLQuery::singleResultQuery (SimpleSPARQLQuery::QueryFromSingleSource, QString (" PREFIX af: <http://purl.org/ontology/af/> " " SELECT ?thing FROM <%1> " " WHERE { ?signal af:signal_feature ?thing } " ).arg(url), "thing"); if (value.type == SimpleSPARQLQuery::URIValue) { haveAnnotations = true; } } SimpleSPARQLQuery::closeSingleSource(url); if (haveAudio) { if (haveAnnotations) { return AudioRefAndAnnotations; } else { return AudioRef; } } else { if (haveAnnotations) { return Annotations; } else { return OtherRDFDocument; } } return OtherRDFDocument; } void RDFImporterImpl::loadPrefixes(ProgressReporter *reporter) { return; //!!! if (m_prefixesLoaded) return; const char *prefixes[] = { "http://purl.org/NET/c4dm/event.owl", "http://purl.org/NET/c4dm/timeline.owl", "http://purl.org/ontology/mo/", "http://purl.org/ontology/af/", "http://www.w3.org/2000/01/rdf-schema", "http://purl.org/dc/elements/1.1/", }; for (size_t i = 0; i < sizeof(prefixes)/sizeof(prefixes[0]); ++i) { CachedFile cf(prefixes[i], reporter, "application/rdf+xml"); if (!cf.isOK()) continue; SimpleSPARQLQuery::addSourceToModel (QUrl::fromLocalFile(cf.getLocalFilename()).toString()); } m_prefixesLoaded = true; }