/**
* this method finds potential options based on the detected main subject; it is usually used when
* none of the ontology-related annotations exist
*
* @param key
* @return
*/
public List<Vote> generateGenericVotes(
SuggestionKey key, POC poc, boolean addNone, Integer max, List<SemanticConcept> toSkip) {
Set<String> avoidThese = new HashSet<String>();
if (toSkip != null)
for (SemanticConcept concept : toSkip) {
String uri = concept.getOntologyElement().getData().toString();
avoidThese.add(uri);
}
String text = key.getText();
List<Vote> votes = new ArrayList<Vote>();
List<OntologyElement> elements;
try {
elements = findGenericOntologyElements(max);
for (OntologyElement element : elements) {
if (avoidThese.contains(element.getData().toString())) continue;
element.setAnnotation(poc.getAnnotation());
// run some similarity metric here and use some threshold...
// if similarityScore>threshold then add this to the
// clarificationOptions
String pPropertyShortName = "";
String suggestion = ((SerializableURI) element.getData()).toString();
try {
SerializableURI elementUri = new SerializableURI(suggestion, false);
pPropertyShortName = elementUri.getResourceName();
} catch (Exception e) {
pPropertyShortName = suggestion;
}
String niceLabel = StringUtil.beautifyString(pPropertyShortName);
Vote vote = new Vote();
long id = incrementer.incrementAndGet();
vote.setId(id);
SemanticConcept candidateSemanticConcept = new SemanticConcept();
candidateSemanticConcept.setOntologyElement(element);
SemanticConcept clonedConcept = (SemanticConcept) candidateSemanticConcept.clone();
vote.setCandidate(clonedConcept);
double totalSimilarity = similarityCalculator.findSimilarity(text, niceLabel);
vote.setVote(totalSimilarity);
votes.add(vote);
votes.addAll(addAdditionalVotes(element, poc, text, pPropertyShortName, false));
}
// here we add datatypeProperties with no domain etc.
votes.addAll(
generateVotesFromOntologyElements(findHangingElements(), avoidThese, poc, null, text));
} catch (Exception e1) {
// TODO Auto-generated catch block
e1.printStackTrace();
}
// add None element
if (addNone) {
Vote vote = VoteGenerator.generateNoneVote(incrementer.incrementAndGet());
vote.getCandidate().getOntologyElement().setAnnotation(poc.getAnnotation());
votes.add(vote);
}
return votes;
}
/**
* @param text
* @param pPropertyShortNameOrUri
* @param element
* @param function
* @return
*/
public Vote generateVote(
String text, String pPropertyShortNameOrUri, OntologyElement element, String function) {
String niceLabel = StringUtil.beautifyString(pPropertyShortNameOrUri);
Vote vote = new Vote();
long id = incrementer.incrementAndGet();
vote.setId(id);
SemanticConcept candidateSemanticConcept = new SemanticConcept();
candidateSemanticConcept.setOntologyElement(element);
// element.setFunction(function);
candidateSemanticConcept.setFunction(function);
// SemanticConcept clonedElement =
// (SemanticConcept)candidateSemanticConcept.clone();
vote.setCandidate(candidateSemanticConcept);
// vote.setCandidate(clonedElement);
// give more weight to monge
try {
double totalSimilarity = similarityCalculator.findSimilarity(text, niceLabel);
vote.setVote(totalSimilarity);
} catch (Exception e) {
e.printStackTrace();
}
return vote;
}