private static void initGlossary(IGlossary glossary, IInflector inflector, TaxonGroup taxonGroup)
throws IOException {
OTOClient otoClient = new OTOClient("http://biosemantics.arizona.edu:8080/OTO");
GlossaryDownload glossaryDownload = new GlossaryDownload();
String glossaryVersion = "latest";
otoClient.open();
Future<GlossaryDownload> futureGlossaryDownload =
otoClient.getGlossaryDownload(taxonGroup.getDisplayName(), glossaryVersion);
try {
glossaryDownload = futureGlossaryDownload.get();
} catch (Exception e) {
otoClient.close();
e.printStackTrace();
}
otoClient.close();
// add the syn set of the glossary
HashSet<Term> gsyns = new HashSet<Term>();
for (TermSynonym termSyn : glossaryDownload.getTermSynonyms()) {
// if(termSyn.getCategory().compareTo("structure")==0){
if (termSyn.getCategory().matches("structure|taxon_name|substance")) {
// take care of singular and plural forms
String syns = "";
String synp = "";
String terms = "";
String termp = "";
if (inflector.isPlural(
termSyn
.getSynonym()
.replaceAll(
"_",
"-"))) { // must convert _ to -, as matching entity phrases will be converted
// from leg iii to leg-iii in the sentence.
synp = termSyn.getSynonym().replaceAll("_", "-");
syns = inflector.getSingular(synp);
} else {
syns = termSyn.getSynonym().replaceAll("_", "-");
synp = inflector.getPlural(syns);
}
if (inflector.isPlural(termSyn.getTerm().replaceAll("_", "-"))) {
termp = termSyn.getTerm().replaceAll("_", "-");
terms = inflector.getSingular(termp);
} else {
terms = termSyn.getTerm().replaceAll("_", "-");
termp = inflector.getPlural(terms);
}
glossary.addSynonym(syns, termSyn.getCategory(), terms);
glossary.addSynonym(synp, termSyn.getCategory(), termp);
gsyns.add(new Term(syns, termSyn.getCategory()));
gsyns.add(new Term(synp, termSyn.getCategory()));
} else {
// glossary.addSynonym(termSyn.getSynonym().replaceAll("_", "-"), "arrangement",
// termSyn.getTerm());
glossary.addSynonym(
termSyn.getSynonym().replaceAll("_", "-"), termSyn.getCategory(), termSyn.getTerm());
gsyns.add(new Term(termSyn.getSynonym().replaceAll("_", "-"), termSyn.getCategory()));
// gsyns.add(new Term(termSyn.getSynonym().replaceAll("_", "-"), "arrangement"));
}
}
// the glossary, excluding gsyns
for (TermCategory termCategory : glossaryDownload.getTermCategories()) {
if (!gsyns.contains(
new Term(termCategory.getTerm().replaceAll("_", "-"), termCategory.getCategory())))
glossary.addEntry(
termCategory.getTerm().replaceAll("_", "-"),
termCategory.getCategory()); // primocane_foliage =>primocane-foliage Hong 3/2014
}
List<Synonym> synonyms = new LinkedList<Synonym>();
CSVReader reader =
new CSVReader(
new FileReader(
"C:\\Users\\rodenhausen\\Desktop\\test-enhance\\"
+ "Gordon_complexity_term_review\\category_mainterm_synonymterm-task-Gordon_complexity.csv"));
List<String[]> lines = reader.readAll();
int i = 0;
Set<String> hasSynonym = new HashSet<String>();
for (String[] line : lines) {
synonyms.add(new Synonym(String.valueOf(i), line[1], line[0], line[2]));
hasSynonym.add(line[1]);
}
reader =
new CSVReader(
new FileReader(
"C:\\Users\\rodenhausen\\Desktop\\test-enhance\\"
+ "Gordon_complexity_term_review\\category_term-task-Gordon_complexity.csv"));
lines = reader.readAll();
List<Decision> decisions = new LinkedList<Decision>();
i = 0;
for (String[] line : lines) {
decisions.add(
new Decision(String.valueOf(i), line[1], line[0], hasSynonym.contains(line[1]), ""));
}
Download download = new Download(true, decisions, synonyms);
// add syn set of term_category
HashSet<Term> dsyns = new HashSet<Term>();
if (download != null) {
for (Synonym termSyn : download.getSynonyms()) {
// Hong TODO need to add category info to synonym entry in OTOLite
// if(termSyn.getCategory().compareTo("structure")==0){
if (termSyn.getCategory().matches("structure|taxon_name|substance")) {
// take care of singular and plural forms
String syns = "";
String synp = "";
String terms = "";
String termp = "";
if (inflector.isPlural(termSyn.getSynonym().replaceAll("_", "-"))) {
synp = termSyn.getSynonym().replaceAll("_", "-");
syns = inflector.getSingular(synp);
} else {
syns = termSyn.getSynonym().replaceAll("_", "-");
synp = inflector.getPlural(syns);
}
if (inflector.isPlural(termSyn.getTerm().replaceAll("_", "-"))) {
termp = termSyn.getTerm().replaceAll("_", "-");
terms = inflector.getSingular(termp);
} else {
terms = termSyn.getTerm().replaceAll("_", "-");
termp = inflector.getPlural(terms);
}
// glossary.addSynonym(syns, termSyn.getCategory(), terms);
// glossary.addSynonym(synp, termSyn.getCategory(), termp);
// dsyns.add(new Term(syns, termSyn.getCategory());
// dsyns.add(new Term(synp, termSyn.getCategory());
glossary.addSynonym(syns, termSyn.getCategory(), terms);
glossary.addSynonym(synp, termSyn.getCategory(), termp);
dsyns.add(new Term(syns, termSyn.getCategory()));
dsyns.add(new Term(synp, termSyn.getCategory()));
} else { // forking_1 and forking are syns 5/5/14 hong test, shouldn't _1 have already been
// removed?
glossary.addSynonym(
termSyn.getSynonym().replaceAll("_", "-"), termSyn.getCategory(), termSyn.getTerm());
dsyns.add(new Term(termSyn.getSynonym().replaceAll("_", "-"), termSyn.getCategory()));
}
}
// term_category from OTO, excluding dsyns
for (Decision decision : download.getDecisions()) {
if (!dsyns.contains(
new Term(
decision.getTerm().replaceAll("_", "-"),
decision.getCategory()))) // calyx_tube => calyx-tube
glossary.addEntry(decision.getTerm().replaceAll("_", "-"), decision.getCategory());
}
}
}
public static void main(String[] args) throws IOException {
/*for (String arg : args) {
// option #1: By sentence.
DocumentPreprocessor dp = new DocumentPreprocessor(arg);
for (List<HasWord> sentence : dp) {
System.out.println(sentence);
}
// option #2: By token
PTBTokenizer<CoreLabel> ptbt = new PTBTokenizer<>(new FileReader(arg),
new CoreLabelTokenFactory(), "");
while (ptbt.hasNext()) {
CoreLabel label = ptbt.next();
System.out.println(label);
}
}*/
ITokenizer tokenizer = new WhitespaceTokenizer(); /*ITokenizer() {
@Override
public List<Token> tokenize(String text) {
List<Token> result = new LinkedList<Token>();
return null;
}
};*/
TaxonGroup taxonGroup = TaxonGroup.PLANT;
WordNetPOSKnowledgeBase wordNetPOSKnowledgeBase =
new WordNetPOSKnowledgeBase(Configuration.wordNetDirectory, false);
SingularPluralProvider singularPluralProvider = new SingularPluralProvider();
IInflector inflector =
new SomeInflector(
wordNetPOSKnowledgeBase,
singularPluralProvider.getSingulars(),
singularPluralProvider.getPlurals());
Map<String, String> renames = new HashMap<String, String>();
renames.put("count", "quantity");
renames.put("atypical_count", "atypical_quantity");
renames.put("color", "coloration");
IGlossary glossary = new InMemoryGlossary();
initGlossary(glossary, inflector, taxonGroup);
Set<String> lifeStyles = glossary.getWordsInCategory("life_style");
lifeStyles.addAll(glossary.getWordsInCategory("growth_form"));
Set<String> durations = glossary.getWordsInCategory("duration");
String negWords = "no|not|never";
String advModifiers = "at least|at first|at times";
String stopWords =
"a|about|above|across|after|along|also|although|amp|an|and|are|as|at|be|because|become|becomes|becoming|been|before|being|"
+ "beneath|between|beyond|but|by|ca|can|could|did|do|does|doing|done|for|from|had|has|have|hence|here|how|however|if|in|into|inside|inward|is|it|its|"
+ "may|might|more|most|near|of|off|on|onto|or|out|outside|outward|over|should|so|than|that|the|then|there|these|this|those|throughout|"
+ "to|toward|towards|up|upward|was|were|what|when|where|which|why|with|within|without|would";
String units =
"(?:(?:pm|cm|mm|dm|ft|m|meters|meter|micro_m|micro-m|microns|micron|unes|µm|μm|um|centimeters|centimeter|millimeters|millimeter|transdiameters|transdiameter)[23]?)"; // squared or cubed
ICharacterKnowledgeBase characterKnowledgeBase =
new GlossaryBasedCharacterKnowledgeBase(
glossary, negWords, advModifiers, stopWords, units, inflector);
Set<String> possessionTerms = getWordSet("with|has|have|having|possess|possessing|consist_of");
CSVReader reader =
new CSVReader(
new FileReader(
"C:\\Users\\rodenhausen\\Desktop\\test-enhance\\"
+ "Gordon_complexity_term_review\\category_mainterm_synonymterm-task-Gordon_complexity.csv"));
List<String[]> lines = reader.readAll();
int i = 0;
final Map<String, SynonymSet> synonymSetsMap = new HashMap<String, SynonymSet>();
for (String[] line : lines) {
String preferredTerm = line[1];
String synonym = line[2];
if (!synonymSetsMap.containsKey(preferredTerm))
synonymSetsMap.put(preferredTerm, new SynonymSet(preferredTerm, new HashSet<String>()));
synonymSetsMap.get(preferredTerm).getSynonyms().add(synonym);
}
/*List<KnowsSynonyms> hasBiologicalEntitySynonymsList = new LinkedList<KnowsSynonyms>();
List<KnowsSynonyms> hasCharacterSynonymsList = new LinkedList<KnowsSynonyms>();
hasBiologicalEntitySynonymsList.add(new CSVKnowsSynonyms() {
@Override
public Set<SynonymSet> getSynonyms(String term) {
Set<SynonymSet> result = new HashSet<SynonymSet>();
for(SynonymSet synonymSet : synonymSetsMap.values()) {
if(synonymSet.getPreferredTerm().equals(term) || synonymSet.getSynonyms().contains(term))
result.add(synonymSet);
}
if(result.isEmpty())
result.add(new SynonymSet(term, new HashSet<String>()));
return result;
}
});*/
Run run = new Run();
// AbstractTransformer transformer = new RemoveSynonyms(hasBiologicalEntitySynonymsList,
// hasBiologicalEntitySynonymsList);
// AbstractTransformer transformer = new CreateRelationFromCharacterConstraint(new
// KeyWordBasedKnowsCharacterConstraintType(wordNetPOSKnowledgeBase), inflector);
// AbstractTransformer transformer = new MoveRelationToBiologicalEntityConstraint();//new
// KeyWordBasedKnowsCharacterConstraintType(wordNetPOSKnowledgeBase), inflector);
// AbstractTransformer transformer = new
// MoveNegationOrAdverbBiologicalEntityConstraint(wordNetPOSKnowledgeBase);
/*AbstractTransformer transformer = new RemoveNonSpecificBiologicalEntitiesByRelations(new KnowsPartOf() {
@Override
public boolean isPartOf(String part, String parent) {
if(part.equals("apex") && parent.equals("leaf")) {
return true;
}
if(part.equals("base") && parent.equals("fruit")) {
return true;
}
if(part.equals("base") && parent.equals("petal")) {
return true;
}
return false;
}
}, tokenizer, new CollapseBiologicalEntityToName());*/
// AbstractTransformer transformer1 = new MoveCharacterToStructureConstraint();
// AbstractTransformer transformer2 = new ReplaceNegationCharacterByNegationOrAbsence();
/*AbstractTransformer transformer = new MoveModifierCharactersToBiologicalEntityConstraint(tokenizer, new KnowsEntityExistence() {
@Override
public boolean isExistsEntity(String name) {
if(name.equals("red leaf")) {
return true;
}
return false;
}
});*/
CSVKnowsSynonyms csvKnowsSynonyms = new CSVKnowsSynonyms("synonyms.csv", inflector);
RemoveNonSpecificBiologicalEntitiesByRelations transformer1 =
new RemoveNonSpecificBiologicalEntitiesByRelations(
new CSVKnowsPartOf("part-of.csv", csvKnowsSynonyms, inflector),
csvKnowsSynonyms,
tokenizer,
new CollapseBiologicalEntityToName());
RemoveNonSpecificBiologicalEntitiesByBackwardConnectors transformer2 =
new RemoveNonSpecificBiologicalEntitiesByBackwardConnectors(
new CSVKnowsPartOf("part-of.csv", csvKnowsSynonyms, inflector),
csvKnowsSynonyms,
tokenizer,
new CollapseBiologicalEntityToName());
RemoveNonSpecificBiologicalEntitiesByForwardConnectors transformer3 =
new RemoveNonSpecificBiologicalEntitiesByForwardConnectors(
new CSVKnowsPartOf("part-of.csv", csvKnowsSynonyms, inflector),
csvKnowsSynonyms,
tokenizer,
new CollapseBiologicalEntityToName());
RemoveNonSpecificBiologicalEntitiesByPassedParents transformer4 =
new RemoveNonSpecificBiologicalEntitiesByPassedParents(
new CSVKnowsPartOf("part-of.csv", csvKnowsSynonyms, inflector),
csvKnowsSynonyms,
tokenizer,
new CollapseBiologicalEntityToName(),
inflector);
// RemoveNonSpecificBiologicalEntitiesByCollections removeByCollections = new
// RemoveNonSpecificBiologicalEntitiesByCollections(
// new CSVKnowsPartOf(csvKnowsSynonyms, inflector), csvKnowsSynonyms, new
// CSVKnowsClassHierarchy(inflector),
// tokenizer, new CollapseBiologicalEntityToName(), inflector);
run.addTransformer(new SimpleRemoveSynonyms(csvKnowsSynonyms));
run.addTransformer(transformer1);
run.addTransformer(transformer2);
run.addTransformer(transformer3);
run.addTransformer(transformer4);
// run.addTransformer(removeByCollections);
// run.addTransformer(transformer1);
// run.addTransformer(transformer2);
/*
AbstractTransformer transformer = new CollapseCharacterToValue();
run.addTransformer(new RemoveOrphanRelations());
run.addTransformer(new RemoveDuplicateValues());
run.addTransformer(new CollapseBiologicalEntityToName());
run.addTransformer(new CollapseCharacterToValue());
run.addTransformer(new CollapseBiologicalEntities());
run.addTransformer(new CollapseCharacters());
*/
/*
run.addTransformer(new SplitCompoundBiologicalEntity(inflector));
run.addTransformer(new SplitCompoundBiologicalEntitiesCharacters(inflector));
run.addTransformer(new RemoveUselessWholeOrganism());
run.addTransformer(new RemoveUselessCharacterConstraint());
run.addTransformer(new RenameCharacter(renames));
run.addTransformer(new MoveCharacterToStructureConstraint());
run.addTransformer(new MoveNegationCharacterToBiologicalEntityConstraint());
run.addTransformer(new MoveNegationOrAdverbBiologicalEntityConstraint(wordNetPOSKnowledgeBase));
run.addTransformer(new MoveCharactersToAlternativeParent());
run.addTransformer(new ReplaceTaxonNameByWholeOrganism());
run.addTransformer(new CreateOrPopulateWholeOrganism(lifeStyles, "growth_form"));
run.addTransformer(new CreateOrPopulateWholeOrganism(durations, "duration"));
run.addTransformer(new StandardizeQuantityPresence());
run.addTransformer(new StandardizeCount());
run.addTransformer(new SortBiologicalEntityNameWithDistanceCharacter());
run.addTransformer(new OrderBiologicalEntityConstraint());
run.addTransformer(new StandardizeStructureName(characterKnowledgeBase, possessionTerms));
run.addTransformer(new StandardizeTerminology(characterKnowledgeBase));
run.addTransformer(new RemoveOrphanRelations());
run.addTransformer(new RemoveDuplicateValues());
run.addTransformer(new CollapseBiologicalEntityToName());
run.addTransformer(new CollapseCharacterToValue());
run.addTransformer(new CollapseBiologicalEntities());
run.addTransformer(new CollapseCharacters());
*/
// run.run(new File("C:\\Users\\rodenhausen\\Desktop\\test-enhance\\selection_parsed2"), new
// File("C:\\Users\\rodenhausen\\Desktop\\test-enhance\\selection_parsed2_out_" +
// transformer.getClass().getSimpleName()));
run.run(new File("in"), new File("out"));
}
