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[DL-Learner SVN] SF.net SVN: dl-learner:[3861] trunk/components-ext/src
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From: <ki...@us...> - 2012-10-30 16:10:51
|
Revision: 3861
http://dl-learner.svn.sourceforge.net/dl-learner/?rev=3861&view=rev
Author: kirdie
Date: 2012-10-30 16:10:36 +0000 (Tue, 30 Oct 2012)
Log Message:
-----------
corrected the oxford benchmarking.
Modified Paths:
--------------
trunk/components-ext/src/main/java/org/dllearner/algorithm/tbsl/learning/SPARQLTemplateBasedLearner2.java
trunk/components-ext/src/main/java/org/dllearner/algorithm/tbsl/sparql/Query.java
trunk/components-ext/src/test/java/org/dllearner/algorithm/tbsl/learning/SPARQLTemplateBasedLearner3Test.java
Modified: trunk/components-ext/src/main/java/org/dllearner/algorithm/tbsl/learning/SPARQLTemplateBasedLearner2.java
===================================================================
--- trunk/components-ext/src/main/java/org/dllearner/algorithm/tbsl/learning/SPARQLTemplateBasedLearner2.java 2012-10-30 12:53:54 UTC (rev 3860)
+++ trunk/components-ext/src/main/java/org/dllearner/algorithm/tbsl/learning/SPARQLTemplateBasedLearner2.java 2012-10-30 16:10:36 UTC (rev 3861)
@@ -1,27 +1,19 @@
package org.dllearner.algorithm.tbsl.learning;
-import java.io.FileNotFoundException;
-import java.io.IOException;
-import java.net.URL;
+import hmm.HiddenMarkovModel;
import java.util.ArrayList;
import java.util.Collection;
-import java.util.Collections;
-import java.util.Comparator;
import java.util.HashMap;
import java.util.HashSet;
-import java.util.Iterator;
+import java.util.LinkedList;
import java.util.List;
import java.util.Map;
-import java.util.Map.Entry;
import java.util.Set;
+import java.util.SortedMap;
import java.util.SortedSet;
import java.util.TreeMap;
import java.util.TreeSet;
-import java.util.concurrent.Callable;
-import java.util.concurrent.ExecutionException;
-import java.util.concurrent.ExecutorService;
-import java.util.concurrent.Executors;
-import java.util.concurrent.Future;
+import org.apache.commons.collections15.MultiMap;
import org.apache.log4j.Logger;
import org.dllearner.algorithm.tbsl.nlp.Lemmatizer;
import org.dllearner.algorithm.tbsl.nlp.LingPipeLemmatizer;
@@ -31,13 +23,7 @@
import org.dllearner.algorithm.tbsl.nlp.WordNet;
import org.dllearner.algorithm.tbsl.sparql.Allocation;
import org.dllearner.algorithm.tbsl.sparql.Query;
-import org.dllearner.algorithm.tbsl.sparql.SPARQL_Filter;
-import org.dllearner.algorithm.tbsl.sparql.SPARQL_Pair;
-import org.dllearner.algorithm.tbsl.sparql.SPARQL_PairType;
-import org.dllearner.algorithm.tbsl.sparql.SPARQL_Property;
import org.dllearner.algorithm.tbsl.sparql.SPARQL_QueryType;
-import org.dllearner.algorithm.tbsl.sparql.SPARQL_Triple;
-import org.dllearner.algorithm.tbsl.sparql.SPARQL_Value;
import org.dllearner.algorithm.tbsl.sparql.Slot;
import org.dllearner.algorithm.tbsl.sparql.SlotType;
import org.dllearner.algorithm.tbsl.sparql.Template;
@@ -46,13 +32,10 @@
import org.dllearner.algorithm.tbsl.util.Knowledgebase;
import org.dllearner.algorithm.tbsl.util.PopularityMap;
import org.dllearner.algorithm.tbsl.util.PopularityMap.EntityType;
-import org.dllearner.algorithm.tbsl.util.Similarity;
-import org.dllearner.algorithm.tbsl.util.UnknownPropertyHelper.SymPropertyDirection;
import org.dllearner.common.index.Index;
import org.dllearner.common.index.IndexResultItem;
import org.dllearner.common.index.IndexResultSet;
import org.dllearner.common.index.MappingBasedIndex;
-import org.dllearner.common.index.SOLRIndex;
import org.dllearner.common.index.SPARQLDatatypePropertiesIndex;
import org.dllearner.common.index.SPARQLIndex;
import org.dllearner.common.index.SPARQLObjectPropertiesIndex;
@@ -63,19 +46,13 @@
import org.dllearner.core.ComponentInitException;
import org.dllearner.core.LearningProblem;
import org.dllearner.core.SparqlQueryLearningAlgorithm;
-import org.dllearner.core.owl.Description;
-import org.dllearner.core.owl.NamedClass;
-import org.dllearner.core.owl.ObjectProperty;
-import org.dllearner.core.owl.Thing;
import org.dllearner.kb.LocalModelBasedSparqlEndpointKS;
import org.dllearner.kb.SparqlEndpointKS;
import org.dllearner.kb.sparql.ExtractionDBCache;
import org.dllearner.kb.sparql.SparqlEndpoint;
import org.dllearner.kb.sparql.SparqlQuery;
import org.dllearner.reasoning.SPARQLReasoner;
-import org.ini4j.InvalidFileFormatException;
import org.ini4j.Options;
-
import com.hp.hpl.jena.ontology.OntModelSpec;
import com.hp.hpl.jena.query.QueryExecutionFactory;
import com.hp.hpl.jena.query.QueryFactory;
@@ -85,10 +62,6 @@
import com.hp.hpl.jena.rdf.model.Model;
import com.hp.hpl.jena.rdf.model.ModelFactory;
import com.hp.hpl.jena.sparql.engine.http.QueryEngineHTTP;
-import com.hp.hpl.jena.sparql.expr.ExprAggregator;
-import com.hp.hpl.jena.sparql.expr.ExprVar;
-import com.hp.hpl.jena.sparql.expr.aggregate.AggCount;
-import com.hp.hpl.jena.sparql.expr.aggregate.Aggregator;
import com.jamonapi.Monitor;
import com.jamonapi.MonitorFactory;
@@ -516,358 +489,88 @@
return relevantKeywords;
}
- private SortedSet<WeightedQuery> getWeightedSPARQLQueries(Set<Template> templates){
- logger.debug("Generating SPARQL query candidates...");
-
- Map<Slot, Set<Allocation>> slot2Allocations = new TreeMap<Slot, Set<Allocation>>(new Comparator<Slot>() {
-
- @Override
- public int compare(Slot o1, Slot o2) {
- if(o1.getSlotType() == o2.getSlotType()){
- return o1.getToken().compareTo(o2.getToken());
- } else {
- return -1;
+ // just for testing the HMM integration, getWeightedSPARQLQueriesOld is the original one
+ private SortedSet<WeightedQuery> getWeightedSPARQLQueries(Set<Template> templates)
+ {
+ // for testing
+ for(Template template: templates)
+ {
+ {
+ ArrayList<String> keywords = new ArrayList<String>();
+ for(Slot slot: template.getSlots())
+ {
+ keywords.add(slot.getWords().get(0));
}
+ if(template.getSlots().size()!=3) {continue;}
+ if(!keywords.contains("Mean Hamster Software")) {continue;}
+ if(!keywords.contains("published")) {continue;}
+ System.out.println("\"keywords\": "+keywords);
}
- });
- slot2Allocations = Collections.synchronizedMap(new HashMap<Slot, Set<Allocation>>());
-
-
- SortedSet<WeightedQuery> allQueries = new TreeSet<WeightedQuery>();
-
- Set<Allocation> allocations;
-
- for(Template t : templates){
- logger.info("Processing template:\n" + t.toString());
- allocations = new TreeSet<Allocation>();
- boolean containsRegex = t.getQuery().toString().toLowerCase().contains("(regex(");
-
- ExecutorService executor = Executors.newFixedThreadPool(t.getSlots().size());
- List<Future<Map<Slot, SortedSet<Allocation>>>> list = new ArrayList<Future<Map<Slot, SortedSet<Allocation>>>>();
-
- long startTime = System.currentTimeMillis();
-
- for (Slot slot : t.getSlots()) {
- if(!slot2Allocations.containsKey(slot)){//System.out.println(slot + ": " + slot.hashCode());System.out.println(slot2Allocations);
- Callable<Map<Slot, SortedSet<Allocation>>> worker = new SlotProcessor(slot);
- Future<Map<Slot, SortedSet<Allocation>>> submit = executor.submit(worker);
- list.add(submit);
- }
- }
-
- for (Future<Map<Slot, SortedSet<Allocation>>> future : list) {
- try {
- Map<Slot, SortedSet<Allocation>> result = future.get();
- Entry<Slot, SortedSet<Allocation>> item = result.entrySet().iterator().next();
- slot2Allocations.put(item.getKey(), item.getValue());
- } catch (InterruptedException e) {
- e.printStackTrace();
- } catch (ExecutionException e) {
- e.printStackTrace();
+ System.out.println(template);
+ SortedSet<WeightedQuery> queries = new TreeSet<WeightedQuery>();
+ Query query = template.getQuery();
+ double score = 0;
+
+ Map<List<String>,Collection<String>> segmentToURIs = new HashMap<List<String>,Collection<String>>();
+ for(Slot slot: template.getSlots())
+ {
+ List<String> segment = new LinkedList<String>();
+ segment.add(slot.getWords().get(0)); // TODO: split it up?
+
+ Set<String> uris = new HashSet<String>();
+
+ for(IndexResultItem item : getIndexResultItems(slot))
+ {
+ uris.add(item.getUri());
}
+ segmentToURIs.put(segment,uris);
}
+ HiddenMarkovModel hmm = new HiddenMarkovModel();
+ hmm.initialization();
+ hmm.startMarkovModel(segmentToURIs,true);
+ MultiMap<Double,List<String>> paths = hmm.getPaths();
- executor.shutdown();
+ // System.out.println(hmm.getPaths());
+ // die keywords jetzt in sadeehs algorithmus reinwerfen
+ // da kommen jetzt pfade raus mit unterschiedlichen wahrscheinlichkeiten
+ // HiddenMarkovModel HMM = new HiddenMarkovModel();
+ // HMM.StartMarkovModel();
+ // jetzt die variablen aus der query ersetzen mit den kandidaten
+ // ranked list der pfade, die die observation sequence generieren
-
- /*for(Slot slot : t.getSlots()){
- allocations = slot2Allocations2.get(slot);
- if(allocations == null){
- allocations = computeAllocations(slot, 10);
- slot2Allocations2.put(slot, allocations);
- }
- slot2Allocations.put(slot, allocations);
-
- //for tests add the property URI with http://dbpedia.org/property/ namespace
- //TODO should be replaced by usage of a separate SOLR index
- Set<Allocation> tmp = new HashSet<Allocation>();
- if(slot.getSlotType() == SlotType.PROPERTY || slot.getSlotType() == SlotType.SYMPROPERTY){
- for(Allocation a : allocations){
- String uri = "http://dbpedia.org/property/" + a.getUri().substring(a.getUri().lastIndexOf("/")+1);
- Allocation newA = new Allocation(uri, a.getSimilarity(), a.getProminence());
- newA.setScore(a.getScore()-0.000001);
- tmp.add(newA);
+ for(Double d : paths.keySet())
+ {
+ for(List<String> path : paths.get(d))
+ {
+ Query q = new Query(query);
+ // TODO: which variable stands for which resource? do it randomly now to check if the replacement works and then correct the order later
+ System.out.println(q.getVariablesAsStringList());
+ System.out.println();
+ int i = 0;
+ for(String var : q.getVariablesAsStringList())
+ {
+ q.replaceVarWithURI(var, path.get(i));
+ i++;
}
- }
- allocations.addAll(tmp);
- }*/
- logger.debug("Time needed: " + (System.currentTimeMillis() - startTime) + "ms");
+ System.out.println(q);
- Set<WeightedQuery> queries = new HashSet<WeightedQuery>();
- Query cleanQuery = t.getQuery();
- queries.add(new WeightedQuery(cleanQuery));
- Set<WeightedQuery> tmp = new TreeSet<WeightedQuery>();
- List<Slot> sortedSlots = new ArrayList<Slot>();
- Set<Slot> classSlots = new HashSet<Slot>();
- for(Slot slot : t.getSlots()){
- if(slot.getSlotType() == SlotType.CLASS){
- sortedSlots.add(slot);
- classSlots.add(slot);
+ WeightedQuery wQuery = new WeightedQuery(q, score);
+ queries.add(wQuery);
}
}
- for(Slot slot : t.getSlots()){
- if(slot.getSlotType() == SlotType.PROPERTY || slot.getSlotType() == SlotType.OBJECTPROPERTY || slot.getSlotType() == SlotType.DATATYPEPROPERTY){
- sortedSlots.add(slot);
- }
- }
- for(Slot slot : t.getSlots()){
- if(!sortedSlots.contains(slot)){
- sortedSlots.add(slot);
- }
- }
- //add for each SYMPROPERTY Slot the reversed query
- for(Slot slot : sortedSlots){
- for(WeightedQuery wQ : queries){
- if(slot.getSlotType() == SlotType.SYMPROPERTY || slot.getSlotType() == SlotType.OBJECTPROPERTY){
- Query reversedQuery = new Query(wQ.getQuery());
- reversedQuery.getTriplesWithVar(slot.getAnchor()).iterator().next().reverse();
- tmp.add(new WeightedQuery(reversedQuery));
- }
- tmp.add(wQ);
- }
- queries.clear();
- queries.addAll(tmp);
- tmp.clear();
- }
+ //System.exit(0);
+ return queries;
+ // >> SLOTS:
+ // y0: RESOURCE {Mean Hamster Software}
+ // p0: OBJECTPROPERTY {published,print}
+ // p1: CLASS {video games}
- for(Slot slot : sortedSlots){
- if(!slot2Allocations.get(slot).isEmpty()){
- for(Allocation a : slot2Allocations.get(slot)){
- for(WeightedQuery query : queries){
- Query q = new Query(query.getQuery());
- boolean drop = false;
- if(useDomainRangeRestriction){
- if(slot.getSlotType() == SlotType.PROPERTY || slot.getSlotType() == SlotType.SYMPROPERTY){
- for(SPARQL_Triple triple : q.getTriplesWithVar(slot.getAnchor())){
- String objectVar = triple.getValue().getName();
- String subjectVar = triple.getVariable().getName();
- // System.out.println(triple);
- for(SPARQL_Triple typeTriple : q.getRDFTypeTriples(objectVar)){
- // System.out.println(typeTriple);
- if(true){//reasoner.isObjectProperty(a.getUri())){
- Description range = reasoner.getRange(new ObjectProperty(a.getUri()));
- // System.out.println(a);
- if(range != null){
- Set<Description> allRanges = new HashSet<Description>();
- SortedSet<Description> superClasses;
- if(range instanceof NamedClass){
- superClasses = reasoner.getSuperClasses(range);
- allRanges.addAll(superClasses);
- } else {
- for(Description nc : range.getChildren()){
- superClasses = reasoner.getSuperClasses(nc);
- allRanges.addAll(superClasses);
- }
- }
- allRanges.add(range);
- allRanges.remove(new NamedClass(Thing.instance.getURI()));
-
- Set<Description> allTypes = new HashSet<Description>();
- String typeURI = typeTriple.getValue().getName().substring(1,typeTriple.getValue().getName().length()-1);
- Description type = new NamedClass(typeURI);
- superClasses = reasoner.getSuperClasses(type);
- allTypes.addAll(superClasses);
- allTypes.add(type);
-
- if(!org.mindswap.pellet.utils.SetUtils.intersects(allRanges, allTypes)){
- drop = true;
- }
- }
- } else {
- drop = true;
- }
-
- }
- for(SPARQL_Triple typeTriple : q.getRDFTypeTriples(subjectVar)){
- Description domain = reasoner.getDomain(new ObjectProperty(a.getUri()));
- // System.out.println(a);
- if(domain != null){
- Set<Description> allDomains = new HashSet<Description>();
- SortedSet<Description> superClasses;
- if(domain instanceof NamedClass){
- superClasses = reasoner.getSuperClasses(domain);
- allDomains.addAll(superClasses);
- } else {
- for(Description nc : domain.getChildren()){
- superClasses = reasoner.getSuperClasses(nc);
- allDomains.addAll(superClasses);
- }
- }
- allDomains.add(domain);
- allDomains.remove(new NamedClass(Thing.instance.getURI()));
-
- Set<Description> allTypes = new HashSet<Description>();
- String typeURI = typeTriple.getValue().getName().substring(1,typeTriple.getValue().getName().length()-1);
- Description type = new NamedClass(typeURI);
- superClasses = reasoner.getSuperClasses(type);
- allTypes.addAll(superClasses);
- allTypes.add(type);
-
- if(!org.mindswap.pellet.utils.SetUtils.intersects(allDomains, allTypes)){
- drop = true;
- } else {
-
- }
- }
- }
- }
- }
- }
-
- if(!drop){
- if(slot.getSlotType() == SlotType.RESOURCE){//avoid queries where predicate is data property and object resource->add REGEX filter in this case
- for(SPARQL_Triple triple : q.getTriplesWithVar(slot.getAnchor())){
- SPARQL_Value object = triple.getValue();
- if(object.isVariable() && object.getName().equals(slot.getAnchor())){//only consider triple where SLOT is in object position
- SPARQL_Property predicate = triple.getProperty();
- if(!predicate.isVariable()){//only consider triple where predicate is URI
- String predicateURI = predicate.getName().replace("<", "").replace(">", "");
- if(isDatatypeProperty(predicateURI)){//if data property
- q.addFilter(new SPARQL_Filter(new SPARQL_Pair(
- object, "'" + slot.getWords().get(0) + "'", SPARQL_PairType.REGEX)));
- } else {
- q.replaceVarWithURI(slot.getAnchor(), a.getUri());
- }
- } else {
- q.replaceVarWithURI(slot.getAnchor(), a.getUri());
- }
- } else {
- q.replaceVarWithURI(slot.getAnchor(), a.getUri());
- }
- }
- } else {
- q.replaceVarWithURI(slot.getAnchor(), a.getUri());
- }
- WeightedQuery w = new WeightedQuery(q);
- double newScore = query.getScore() + a.getScore();
- w.setScore(newScore);
- w.addAllocations(query.getAllocations());
- w.addAllocation(a);
- tmp.add(w);
- }
-
-
- }
- }
- //lower queries with FILTER-REGEX
- if(containsRegex){
- for(WeightedQuery wQ : tmp){
- wQ.setScore(wQ.getScore() - 0.01);
- }
- }
-
- queries.clear();
- queries.addAll(tmp);//System.out.println(tmp);
- tmp.clear();
- } else {//Add REGEX FILTER if resource slot is empty and predicate is datatype property
- if(slot.getSlotType() == SlotType.RESOURCE){
- for(WeightedQuery query : queries){
- Query q = query.getQuery();
- for(SPARQL_Triple triple : q.getTriplesWithVar(slot.getAnchor())){
- SPARQL_Value object = triple.getValue();
- if(object.isVariable() && object.getName().equals(slot.getAnchor())){//only consider triple where SLOT is in object position
- SPARQL_Property predicate = triple.getProperty();
- if(!predicate.isVariable()){//only consider triple where predicate is URI
- String predicateURI = predicate.getName().replace("<", "").replace(">", "");
- if(isDatatypeProperty(predicateURI)){//if data property
- q.addFilter(new SPARQL_Filter(new SPARQL_Pair(
- object, "'" + slot.getWords().get(0) + "'", SPARQL_PairType.REGEX)));
- }
- }
- }
- }
-
- }
-
- } else {
- if(slot.getSlotType() == SlotType.SYMPROPERTY){
- for(WeightedQuery wQ : queries){
- List<SPARQL_Triple> triples = wQ.getQuery().getTriplesWithVar(slot.getAnchor());
- for(SPARQL_Triple triple : triples){
- String typeVar;
- String resourceURI;
- SymPropertyDirection direction;
- if(triple.getValue().isVariable()){
- direction = SymPropertyDirection.VAR_RIGHT;
- typeVar = triple.getValue().getName();
- resourceURI = triple.getVariable().getName();
- } else {
- direction = SymPropertyDirection.VAR_LEFT;
- typeVar = triple.getVariable().getName();
- resourceURI = triple.getValue().getName();
- }
- resourceURI = resourceURI.replace("<", "").replace(">", "");
- List<SPARQL_Triple> typeTriples = wQ.getQuery().getRDFTypeTriples(typeVar);
- for(SPARQL_Triple typeTriple : typeTriples){
- String typeURI = typeTriple.getValue().getName().replace("<", "").replace(">", "");
- // List<Entry<String, Integer>> mostFrequentProperties = UnknownPropertyHelper.getMostFrequentProperties(endpoint, cache, typeURI, resourceURI, direction);
- // for(Entry<String, Integer> property : mostFrequentProperties){
- // wQ.getQuery().replaceVarWithURI(slot.getAnchor(), property.getKey());
- // wQ.setScore(wQ.getScore() + 0.1);
- // }
- }
-
- }
- }
- }
- }
- // else if(slot.getSlotType() == SlotType.CLASS){
- // String token = slot.getWords().get(0);
- // if(slot.getToken().contains("house")){
- // String regexToken = token.replace("houses", "").replace("house", "").trim();
- // try {
- // Map<Slot, SortedSet<Allocation>> ret = new SlotProcessor(new Slot(null, SlotType.CLASS, Collections.singletonList("house"))).call();
- // SortedSet<Allocation> alloc = ret.entrySet().iterator().next().getValue();
- // if(alloc != null && !alloc.isEmpty()){
- // String uri = alloc.first().getUri();
- // for(WeightedQuery query : queries){
- // Query q = query.getQuery();
- // for(SPARQL_Triple triple : q.getTriplesWithVar(slot.getAnchor())){
- // SPARQL_Term subject = triple.getVariable();
- // SPARQL_Term object = new SPARQL_Term("desc");
- // object.setIsVariable(true);
- // object.setIsURI(false);
- // q.addCondition(new SPARQL_Triple(subject, new SPARQL_Property("<http://purl.org/goodrelations/v1#description>"), object));
- // q.addFilter(new SPARQL_Filter(new SPARQL_Pair(
- // object, "'" + regexToken + "'", SPARQL_PairType.REGEX)));
- // }
- // q.replaceVarWithURI(slot.getAnchor(), uri);
- //
- // }
- // }
- // } catch (Exception e) {
- // e.printStackTrace();
- // }
- // }
- // }
-
-
- }
-
- }
- for (Iterator<WeightedQuery> iterator = queries.iterator(); iterator.hasNext();) {
- WeightedQuery wQ = iterator.next();
- if(dropZeroScoredQueries){
- if(wQ.getScore() <= 0){
- iterator.remove();
- }
- } else {
- if(t.getSlots().size()==0) throw new AssertionError("no slots for query "+wQ);
- wQ.setScore(wQ.getScore()/t.getSlots().size());
- }
-
- }
- allQueries.addAll(queries);
- List<Query> qList = new ArrayList<Query>();
- for(WeightedQuery wQ : queries){//System.err.println(wQ.getQuery());
- qList.add(wQ.getQuery());
- }
- template2Queries.put(t, qList);
+ // System.out.println(template);
}
- logger.debug("...done in ");
- return allQueries;
+ //
+ return null;
}
private double getProminenceValue(String uri, SlotType type){
@@ -1142,101 +845,51 @@
}
- class SlotProcessor implements Callable<Map<Slot, SortedSet<Allocation>>>{
-
- private Slot slot;
-
- public SlotProcessor(Slot slot) {
- this.slot = slot;
- }
-
- @Override
- public Map<Slot, SortedSet<Allocation>> call() throws Exception {
- Map<Slot, SortedSet<Allocation>> result = new HashMap<Slot, SortedSet<Allocation>>();
- result.put(slot, computeAllocations(slot));
- return result;
- }
-
- private SortedSet<Allocation> computeAllocations(Slot slot){
- logger.debug("Computing allocations for slot: " + slot);
- SortedSet<Allocation> allocations = new TreeSet<Allocation>();
-
- Index index = getIndexBySlotType(slot);
-
- IndexResultSet rs;
- for(String word : slot.getWords()){
- rs = new IndexResultSet();
- if(mappingIndex != null){
- SlotType type = slot.getSlotType();
- if(type == SlotType.CLASS){
- rs.add(mappingIndex.getClassesWithScores(word));
- } else if(type == SlotType.PROPERTY || type == SlotType.SYMPROPERTY){
- rs.add(mappingIndex.getPropertiesWithScores(word));
- } else if(type == SlotType.DATATYPEPROPERTY){
- rs.add(mappingIndex.getDatatypePropertiesWithScores(word));
- } else if(type == SlotType.OBJECTPROPERTY){
- rs.add(mappingIndex.getObjectPropertiesWithScores(word));
- } else if(type == SlotType.RESOURCE || type == SlotType.UNSPEC){
- rs.add(mappingIndex.getResourcesWithScores(word));
- }
+ private Set<IndexResultItem> getIndexResultItems(Slot slot)
+ {
+// List<String> uris = new LinkedList<String>();
+ Set<IndexResultItem> indexResultItems = new HashSet<IndexResultItem>();
+
+ Index index = getIndexBySlotType(slot);
+
+ for(String word : slot.getWords())
+ {
+ IndexResultSet rs = new IndexResultSet();
+ if(mappingIndex != null){
+ SlotType type = slot.getSlotType();
+ if(type == SlotType.CLASS){
+ rs.add(mappingIndex.getClassesWithScores(word));
+ } else if(type == SlotType.PROPERTY || type == SlotType.SYMPROPERTY){
+ rs.add(mappingIndex.getPropertiesWithScores(word));
+ } else if(type == SlotType.DATATYPEPROPERTY){
+ rs.add(mappingIndex.getDatatypePropertiesWithScores(word));
+ } else if(type == SlotType.OBJECTPROPERTY){
+ rs.add(mappingIndex.getObjectPropertiesWithScores(word));
+ } else if(type == SlotType.RESOURCE || type == SlotType.UNSPEC){
+ rs.add(mappingIndex.getResourcesWithScores(word));
}
- //use the non manual indexes only if mapping based resultset is not empty and option is set
- if(!useManualMappingsIfExistOnly || rs.isEmpty()){
- if(slot.getSlotType() == SlotType.RESOURCE){
- rs.add(index.getResourcesWithScores(word, 20));
- } else {
- if(slot.getSlotType() == SlotType.CLASS){
- word = PlingStemmer.stem(word);
- }
- rs.add(index.getResourcesWithScores(word, 20));
+ }
+ //use the non manual indexes only if mapping based resultset is not empty and option is set
+ if(!useManualMappingsIfExistOnly || rs.isEmpty()){
+ if(slot.getSlotType() == SlotType.RESOURCE){
+ rs.add(index.getResourcesWithScores(word, 20));
+ } else {
+ if(slot.getSlotType() == SlotType.CLASS){
+ word = PlingStemmer.stem(word);
}
+ rs.add(index.getResourcesWithScores(word, 20));
}
-
-
- for(IndexResultItem item : rs.getItems()){
- double similarity = Similarity.getSimilarity(word, item.getLabel());
- // //get the labels of the redirects and compute the highest similarity
- // if(slot.getSlotType() == SlotType.RESOURCE){
- // Set<String> labels = getRedirectLabels(item.getUri());
- // for(String label : labels){
- // double tmp = Similarity.getSimilarity(word, label);
- // if(tmp > similarity){
- // similarity = tmp;
- // }
- // }
- // }
- double prominence = getProminenceValue(item.getUri(), slot.getSlotType());
- allocations.add(new Allocation(item.getUri(), prominence, similarity));
- }
-
}
-
- normProminenceValues(allocations);
-
- computeScore(allocations);
- logger.debug("Found " + allocations.size() + " allocations for slot " + slot);
- return new TreeSet<Allocation>(allocations);
+// for(IndexResultItem item: rs.getItems())
+// {
+// uris.add(item.getUri());
+// }
+ indexResultItems.addAll(rs.getItems());
}
-
- private Index getIndexBySlotType(Slot slot){
- Index index = null;
- SlotType type = slot.getSlotType();
- if(type == SlotType.CLASS){
- index = classesIndex;
- } else if(type == SlotType.PROPERTY || type == SlotType.SYMPROPERTY){
- index = propertiesIndex;
- } else if(type == SlotType.DATATYPEPROPERTY){
- index = datatypePropertiesIndex;
- } else if(type == SlotType.OBJECTPROPERTY){
- index = objectPropertiesIndex;
- } else if(type == SlotType.RESOURCE || type == SlotType.UNSPEC){
- index = resourcesIndex;
- }
- return index;
- }
-
+ return indexResultItems;
}
+
public String getTaggedInput()
{
if(templateGenerator==null) {throw new AssertionError("Learner not initialized. Please call init();");}
@@ -1255,33 +908,33 @@
return isDatatypeProperty;
}
- /**
- * @param args
- * @throws NoTemplateFoundException
- * @throws IOException
- * @throws FileNotFoundException
- * @throws InvalidFileFormatException
- */
- public static void main(String[] args) throws Exception {
- SparqlEndpoint endpoint = new SparqlEndpoint(new URL("http://greententacle.techfak.uni-bielefeld.de:5171/sparql"),
- Collections.<String>singletonList(""), Collections.<String>emptyList());
- Index resourcesIndex = new SOLRIndex("http://139.18.2.173:8080/solr/dbpedia_resources");
- Index classesIndex = new SOLRIndex("http://139.18.2.173:8080/solr/dbpedia_classes");
- Index propertiesIndex = new SOLRIndex("http://139.18.2.173:8080/solr/dbpedia_properties");
+ // /**
+ // * @param args
+ // * @throws NoTemplateFoundException
+ // * @throws IOException
+ // * @throws FileNotFoundException
+ // * @throws InvalidFileFormatException
+ // */
+ // public static void main(String[] args) throws Exception {
+ // SparqlEndpoint endpoint = new SparqlEndpoint(new URL("http://greententacle.techfak.uni-bielefeld.de:5171/sparql"),
+ // Collections.<String>singletonList(""), Collections.<String>emptyList());
+ // Index resourcesIndex = new SOLRIndex("http://139.18.2.173:8080/solr/dbpedia_resources");
+ // Index classesIndex = new SOLRIndex("http://139.18.2.173:8080/solr/dbpedia_classes");
+ // Index propertiesIndex = new SOLRIndex("http://139.18.2.173:8080/solr/dbpedia_properties");
+ //
+ // SPARQLTemplateBasedLearner2 learner = new SPARQLTemplateBasedLearner2(endpoint, resourcesIndex, classesIndex, propertiesIndex);
+ // learner.init();
+ //
+ // String question = "What is the highest mountain?";
+ //
+ // learner.setQuestion(question);
+ // learner.learnSPARQLQueries();
+ // System.out.println("Learned query:\n" + learner.getBestSPARQLQuery());
+ // System.out.println("Lexical answer type is: " + learner.getTemplates().iterator().next().getLexicalAnswerType());
+ // System.out.println(learner.getLearnedPosition());
+ //
+ // }
- SPARQLTemplateBasedLearner2 learner = new SPARQLTemplateBasedLearner2(endpoint, resourcesIndex, classesIndex, propertiesIndex);
- learner.init();
- String question = "What is the highest mountain?";
- learner.setQuestion(question);
- learner.learnSPARQLQueries();
- System.out.println("Learned query:\n" + learner.getBestSPARQLQuery());
- System.out.println("Lexical answer type is: " + learner.getTemplates().iterator().next().getLexicalAnswerType());
- System.out.println(learner.getLearnedPosition());
-
- }
-
-
-
}
Modified: trunk/components-ext/src/main/java/org/dllearner/algorithm/tbsl/sparql/Query.java
===================================================================
--- trunk/components-ext/src/main/java/org/dllearner/algorithm/tbsl/sparql/Query.java 2012-10-30 12:53:54 UTC (rev 3860)
+++ trunk/components-ext/src/main/java/org/dllearner/algorithm/tbsl/sparql/Query.java 2012-10-30 16:10:36 UTC (rev 3861)
@@ -58,7 +58,7 @@
unions = new HashSet<SPARQL_Union>();
}
- //copy constructor
+ /** copy constructor*/
public Query(Query query){
this.qt = query.getQt();
Set<SPARQL_Term> selTerms = new HashSet<SPARQL_Term>();
Modified: trunk/components-ext/src/test/java/org/dllearner/algorithm/tbsl/learning/SPARQLTemplateBasedLearner3Test.java
===================================================================
--- trunk/components-ext/src/test/java/org/dllearner/algorithm/tbsl/learning/SPARQLTemplateBasedLearner3Test.java 2012-10-30 12:53:54 UTC (rev 3860)
+++ trunk/components-ext/src/test/java/org/dllearner/algorithm/tbsl/learning/SPARQLTemplateBasedLearner3Test.java 2012-10-30 16:10:36 UTC (rev 3861)
@@ -114,7 +114,7 @@
test("QALD 2 Benchmark ideally tagged", file,SparqlEndpoint.getEndpointDBpedia(),dbpediaLiveCache,dbpediaLiveKnowledgebase,null,null);
}
- @Test public void testOxford() throws Exception
+ /*@Test*/ public void testOxford() throws Exception
{
File file = new File(getClass().getClassLoader().getResource("tbsl/evaluation/oxford_working_questions.xml").getFile());
test("Oxford 19 working questions", file,null,null,null,loadOxfordModel(),getOxfordMappingIndex());
@@ -160,6 +160,26 @@
logger.info("learned query: "+testData.id2Query.get(0));
}
+ /** For debugging one question in particular.
+ */
+ @Test public void testSingleQueryDBpedia()
+ {
+// Logger.getLogger(Templator.class).setLevel(Level.DEBUG);
+// Logger.getLogger(Parser.class).setLevel(Level.DEBUG);
+// Logger.getLogger(SPARQLTemplateBasedLearner2.class).setLevel(Level.DEBUG);
+ // String question = "houses for less than 900000 pounds";
+ String question = "Give/VB me/PRP all/DT video/JJ games/NNS published/VBN by/IN Mean/NNP Hamster/NNP Software/NNP";
+// String question = "give me all video games published by mean hamster software";
+// String question = "Give me all video games published by Mean Hamster Software";
+// question = new StanfordPartOfSpeechTagger().tag(question);
+// System.out.println(question);
+
+// Model model = loadOxfordModel();
+ QueryTestData testData = new QueryTestData();
+ new LearnQueryCallable(question, 0, testData, dbpediaLiveKnowledgebase, true).call();
+ logger.info("learned query: "+testData.id2Query.get(0));
+ }
+
/*@Test*/ public void generateXMLOxford() throws IOException
{
boolean ADD_POS_TAGS = true;
@@ -935,6 +955,7 @@
learner = new SPARQLTemplateBasedLearner2(knowledgeBase,pretagged?null:POSTaggerHolder.posTagger,wordnet,options);
try {learner.init();} catch (ComponentInitException e) {throw new RuntimeException(e);}
learner.setUseIdealTagger(pretagged);
+ learner.setGrammarFiles(new String[]{"tbsl/lexicon/english.lex"});
}
public LearnQueryCallable(String question, int id, QueryTestData testData, Model model,MappingBasedIndex index,boolean pretagged)
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