public List<SortableSemanticModel_Old> hypothesize(
boolean useCorrectTypes, int numberOfCRFCandidates) {
Set<Node> addedNodes =
new HashSet<
Node>(); // They should be deleted from the graph after computing the semantic models
logger.info("finding candidate steiner sets ... ");
CandidateSteinerSets candidateSteinerSets =
getCandidateSteinerSets(columnNodes, useCorrectTypes, numberOfCRFCandidates, addedNodes);
if (candidateSteinerSets == null
|| candidateSteinerSets.getSteinerSets() == null
|| candidateSteinerSets.getSteinerSets().isEmpty()) {
logger.error("there is no candidate set of steiner nodes.");
return null;
}
logger.info("number of steiner sets: " + candidateSteinerSets.numberOfCandidateSets());
logger.info("updating weights according to training data ...");
long start = System.currentTimeMillis();
this.updateWeights();
long updateWightsElapsedTimeMillis = System.currentTimeMillis() - start;
logger.info("time to update weights: " + (updateWightsElapsedTimeMillis / 1000F));
logger.info("computing steiner trees ...");
List<SortableSemanticModel_Old> sortableSemanticModels =
new ArrayList<SortableSemanticModel_Old>();
int count = 1;
for (SteinerNodes sn : candidateSteinerSets.getSteinerSets()) {
logger.debug("computing steiner tree for steiner nodes set " + count + " ...");
logger.debug(sn.getScoreDetailsString());
DirectedWeightedMultigraph<Node, LabeledLink> tree = computeSteinerTree(sn.getNodes());
count++;
if (tree != null) {
SemanticModel sm =
new SemanticModel(
new RandomGUID().toString(), tree, columnNodes, sn.getMappingToSourceColumns());
SortableSemanticModel_Old sortableSemanticModel = new SortableSemanticModel_Old(sm, sn);
sortableSemanticModels.add(sortableSemanticModel);
}
if (count
== ModelingConfigurationRegistry.getInstance()
.getModelingConfiguration(
ContextParametersRegistry.getInstance()
.getContextParameters(ontologyManager.getContextId())
.getKarmaHome())
.getNumCandidateMappings()) break;
}
Collections.sort(sortableSemanticModels);
// logger.info("results are ready ...");
// return sortableSemanticModels;
List<SortableSemanticModel_Old> uniqueModels = new ArrayList<SortableSemanticModel_Old>();
SortableSemanticModel_Old current, previous;
if (sortableSemanticModels != null) {
if (sortableSemanticModels.size() > 0) uniqueModels.add(sortableSemanticModels.get(0));
for (int i = 1; i < sortableSemanticModels.size(); i++) {
current = sortableSemanticModels.get(i);
previous = sortableSemanticModels.get(i - 1);
if (current.getScore() == previous.getScore() && current.getCost() == previous.getCost())
continue;
uniqueModels.add(current);
}
}
logger.info("results are ready ...");
return uniqueModels;
}
