/* * To change this template, choose Tools | Templates * and open the template in the editor. */ package tool; import tool.sieves.AffixationSieve; import tool.sieves.CompoundPhraseSieve; import tool.sieves.DiseaseModifierSynonymsSieve; import tool.sieves.HyphenationSieve; import tool.sieves.PartialMatchNCBISieve; import tool.sieves.PartialMatchSieve; import tool.sieves.PrepositionalTransformSieve; import tool.sieves.Sieve; import tool.sieves.SimpleNameSieve; import tool.sieves.StemmingSieve; import tool.sieves.SymbolReplacementSieve; import tool.util.Concept; import tool.util.Terminology; /** * * @author */ public class PassAllSievesNormalizer { public static int maxSieveLevel; public static boolean pass(Concept concept, int currentSieveLevel) { //System.out.println(concept.getCui()); if (!concept.getCui().equals("")) { concept.setAlternateCuis(Sieve.getAlternateCuis(concept.getCui())); concept.setNormalizingSieveLevel(currentSieveLevel-1); System.out.println("Normalizing sieve is " + concept.getNormalizingSieve()); //Terminology.storeNormalizedConcept(concept); return false; } if (currentSieveLevel > maxSieveLevel) { return false; } return true; } //behavior of this class public static void applyPassAllSieves(Concept concept) { int currentSieveLevel = 1; // This is the sieve for exact match //match with names in training data //Sieve 1 concept.setCui(Sieve.exactMatchSieve(concept.getName())); if (!pass(concept, ++currentSieveLevel)) return; // This is the beginning of the second type of rules //Sieve 2 concept.setCui(Sieve.exactMatchSieve(concept.getNameExpansion())); if (!pass(concept, ++currentSieveLevel)) //Sieve 3 concept.setCui(PrepositionalTransformSieve.apply(concept)); System.out.println("Applied prepositional transforms"); if (!pass(concept, ++currentSieveLevel)) //Sieve 4 concept.setCui(SymbolReplacementSieve.apply(concept)); System.out.println("Applied Symbol replacement transforms"); if (!pass(concept, ++currentSieveLevel)) //Sieve 5 concept.setCui(HyphenationSieve.apply(concept)); System.out.println("Applied hyphenation transforms"); if (!pass(concept, ++currentSieveLevel)) //Sieve 6 concept.setCui(AffixationSieve.apply(concept)); System.out.println("Applied affixation transforms"); if (!pass(concept, ++currentSieveLevel)) //Sieve 7 concept.setCui(DiseaseModifierSynonymsSieve.apply(concept)); System.out.println("Applied disease modifier transforms"); if (!pass(concept, ++currentSieveLevel)) //Sieve 8 concept.setCui(StemmingSieve.apply(concept)); System.out.println("Applied stemming transforms"); if (!pass(concept, ++currentSieveLevel)) //Sieve 9 concept.setCui(Main.test_data_dir.toString().contains("ncbi") ? CompoundPhraseSieve.applyNCBI(concept.getName()) : CompoundPhraseSieve.apply(concept.getName())); System.out.println(concept.getNamesKnowledgeBase()); if (!pass(concept, ++currentSieveLevel)) { return; } //Sieve 10 - this is the sieve of the partial match concept.setCui(SimpleNameSieve.apply(concept)); pass(concept, ++currentSieveLevel); --currentSieveLevel; if (!concept.getCui().equals("")) return; //Sieve 10 concept.setCui(Main.test_data_dir.toString().contains("ncbi") ? PartialMatchNCBISieve.apply(concept) : PartialMatchSieve.apply(concept)); pass(concept, ++currentSieveLevel); System.out.println("xxxxxx Concept not normalized xxxxxxx"); } }