/**
* @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;
}
/**
* 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;
}
/**
* Finds clarification options for given interpretation by applying rules such as: match head with
* some existing (datatype)property of the OntoRes which is first in the query (if there is such
* OntoRes) what is city population of california? head: population modf: city unified two methods
* on 27.02.2010. what is the largest city in california? (city is governor, largest is dependent)
* s: is 'largest' related to: <list od datatype properties which are related to cities (in
* california)>
*
* @param key
* @return
*/
public List<Vote> generateVotes(
SuggestionKey key, POC poc, boolean addNone, List<SemanticConcept> toSkip) {
logger.debug("Before generating suggestions, this many needs to be skipped: " + toSkip.size());
long start = System.currentTimeMillis();
Set<String> avoidThese = new HashSet<String>();
if (toSkip != null)
for (SemanticConcept concept : toSkip) {
String uri = concept.getOntologyElement().getData().toString();
avoidThese.add(uri);
}
long end = System.currentTimeMillis();
List<Vote> votes = new ArrayList<Vote>();
logger.info("Moved OCs to the list to avoid for " + (end - start) + "ms.");
List<SemanticConcept> neighbours = key.getNearestNeighbours();
String text = key.getText();
Integer num = null;
if (neighbours != null) num = neighbours.size();
logger.info("Found " + num + " neighbours for " + key.getText());
/*
* this list ensures that the suggestions with an URI is added only once as if there are more than one
* NNeighbours it can happen that the same suggestion is generated for each neighbour
*/
Set<OntologyElement> allCandidateElements = new HashSet<OntologyElement>();
for (SemanticConcept neighbour : neighbours) {
start = System.currentTimeMillis();
Set<OntologyElement> candidateElements = new HashSet<OntologyElement>();
List<OntologyElement> tmpCandidates;
try {
tmpCandidates = findCandidates(neighbour, text);
end = System.currentTimeMillis();
logger.info("Finding candidates for:" + (end - start) + "ms");
start = System.currentTimeMillis();
for (OntologyElement el : tmpCandidates) {
boolean elementAlreadyInSuggestions =
elementAlreadyInSuggestions(new ArrayList(allCandidateElements), el);
if (!elementAlreadyInSuggestions) {
candidateElements.add(el);
allCandidateElements.add(el);
}
{
logger.debug("Skipping, element already added:" + el.getData().toString());
}
}
} catch (Exception e1) {
// TODO Auto-generated catch block
e1.printStackTrace();
}
end = System.currentTimeMillis();
logger.info("Checking whether candidates already added for:" + (end - start) + "ms");
logger.info(
"Found "
+ candidateElements.size()
+ " suggestions (function elements not counted) for NN:"
+ neighbour.getOntologyElement().getData().toString()
+ " and text:"
+ text
+ ", total up to now:"
+ allCandidateElements.size()
+ ", total to remove: "
+ avoidThese.size());
start = System.currentTimeMillis();
try {
votes.addAll(
generateVotesFromOntologyElements(
new ArrayList(candidateElements), avoidThese, poc, neighbour, text));
} catch (Exception e1) {
// TODO Auto-generated catch block
e1.printStackTrace();
}
end = System.currentTimeMillis();
logger.info(
"Generating Ontology Elements for:"
+ (end - start)
+ "ms, "
+ votes.size()
+ " suggestions to be shown.");
// ////////////////////////////////////////////////////
// ////////add the closest element if the poc to be clarified is
// adjective
// //////////////////////////////////////////////////
OntologyElement closestOntologyConcept = neighbour.getOntologyElement();
// if (!candidateElements.contains(closestOntologyConcept)) {
boolean elementAlreadyInSuggestions =
elementAlreadyInSuggestions(new ArrayList(candidateElements), closestOntologyConcept);
if (!elementAlreadyInSuggestions) {
SerializableURI uriUri = null;
String cocSuggestion = closestOntologyConcept.getData().toString();
String cocUriOrLiteral = null;
try {
uriUri = new SerializableURI(cocSuggestion, false);
cocUriOrLiteral = uriUri.getResourceName();
} catch (Exception e) {
cocUriOrLiteral = cocSuggestion;
}
votes.addAll(addAdditionalVotes(closestOntologyConcept, poc, text, cocUriOrLiteral, true));
}
}
start = System.currentTimeMillis();
// here we add datatypeProperties with no domain etc.
List<OntologyElement> hangingElements = new ArrayList<OntologyElement>();
try {
hangingElements.addAll(findHangingElements());
} catch (Exception e1) {
// TODO Auto-generated catch block
e1.printStackTrace();
}
List filteredHangingElements = new ArrayList();
for (OntologyElement el : hangingElements) {
boolean elementAlreadyInSuggestions =
elementAlreadyInSuggestions(new ArrayList(allCandidateElements), el);
if (!elementAlreadyInSuggestions) filteredHangingElements.add(el);
}
try {
votes.addAll(
generateVotesFromOntologyElements(filteredHangingElements, avoidThese, poc, null, text));
} catch (Exception e) {
// TODO Auto-generated catch block
e.printStackTrace();
}
end = System.currentTimeMillis();
logger.info("Added hanging Elements for:" + (end - start) + "ms");
// add None element
if (addNone) {
Vote vote = VoteGenerator.generateNoneVote(incrementer.incrementAndGet());
vote.getCandidate().getOntologyElement().setAnnotation(poc.getAnnotation());
votes.add(vote);
}
// now call wordnet to recalculate scores
return votes;
}