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| author | RncLsn <rnc.lsn@gmail.com> | 2015-05-29 18:35:51 +0100 |
|---|---|---|
| committer | RncLsn <rnc.lsn@gmail.com> | 2015-05-29 18:35:51 +0100 |
| commit | 4b7253559c290b6fdd1c4122830f153fda85dd62 (patch) | |
| tree | 37c1487e4682be719dec532ca3d7e1af353fb9a1 /src/uk/ac/ox/cs/pagoda/reasoner/MyQueryReasoner.java | |
| parent | 6a559a415b3bdb3048021839e5bcf5bbf5aa4bbd (diff) | |
| download | ACQuA-4b7253559c290b6fdd1c4122830f153fda85dd62.tar.gz ACQuA-4b7253559c290b6fdd1c4122830f153fda85dd62.zip | |
Disposable.
Diffstat (limited to 'src/uk/ac/ox/cs/pagoda/reasoner/MyQueryReasoner.java')
| -rw-r--r-- | src/uk/ac/ox/cs/pagoda/reasoner/MyQueryReasoner.java | 662 |
1 files changed, 332 insertions, 330 deletions
diff --git a/src/uk/ac/ox/cs/pagoda/reasoner/MyQueryReasoner.java b/src/uk/ac/ox/cs/pagoda/reasoner/MyQueryReasoner.java index 618fb70..8445713 100644 --- a/src/uk/ac/ox/cs/pagoda/reasoner/MyQueryReasoner.java +++ b/src/uk/ac/ox/cs/pagoda/reasoner/MyQueryReasoner.java | |||
| @@ -21,362 +21,364 @@ import uk.ac.ox.cs.pagoda.tracking.TrackingRuleEncoderDisjVar1; | |||
| 21 | import uk.ac.ox.cs.pagoda.tracking.TrackingRuleEncoderWithGap; | 21 | import uk.ac.ox.cs.pagoda.tracking.TrackingRuleEncoderWithGap; |
| 22 | import uk.ac.ox.cs.pagoda.util.Timer; | 22 | import uk.ac.ox.cs.pagoda.util.Timer; |
| 23 | import uk.ac.ox.cs.pagoda.util.Utility; | 23 | import uk.ac.ox.cs.pagoda.util.Utility; |
| 24 | import uk.ac.ox.cs.pagoda.util.disposable.DisposedException; | ||
| 24 | import uk.ac.ox.cs.pagoda.util.tuples.Tuple; | 25 | import uk.ac.ox.cs.pagoda.util.tuples.Tuple; |
| 25 | 26 | ||
| 26 | import java.util.Collection; | 27 | import java.util.Collection; |
| 27 | 28 | ||
| 28 | class MyQueryReasoner extends QueryReasoner { | 29 | class MyQueryReasoner extends QueryReasoner { |
| 29 | 30 | ||
| 30 | OWLOntology ontology; | 31 | OWLOntology ontology; |
| 31 | DatalogProgram program; | 32 | DatalogProgram program; |
| 32 | 33 | ||
| 33 | // String additonalDataFile; | 34 | // String additonalDataFile; |
| 34 | BasicQueryEngine rlLowerStore = null; | 35 | BasicQueryEngine rlLowerStore = null; |
| 35 | BasicQueryEngine lazyUpperStore = null; | 36 | BasicQueryEngine lazyUpperStore = null; |
| 36 | // BasicQueryEngine limitedSkolemUpperStore; | 37 | MultiStageQueryEngine limitedSkolemUpperStore; |
| 37 | OWLOntology elho_ontology; | 38 | OWLOntology elho_ontology; |
| 38 | // boolean[] namedIndividuals_lazyUpper; | 39 | // boolean[] namedIndividuals_lazyUpper; |
| 39 | KarmaQueryEngine elLowerStore = null; | 40 | KarmaQueryEngine elLowerStore = null; |
| 40 | BasicQueryEngine trackingStore = null; | 41 | BasicQueryEngine trackingStore = null; |
| 41 | // boolean[] namedIndividuals_tracking; | 42 | // boolean[] namedIndividuals_tracking; |
| 42 | TrackingRuleEncoder encoder; | 43 | TrackingRuleEncoder encoder; |
| 43 | private boolean equalityTag; | 44 | private boolean equalityTag; |
| 44 | private boolean multiStageTag; | 45 | private boolean multiStageTag; |
| 45 | private Timer t = new Timer(); | 46 | private Timer t = new Timer(); |
| 46 | private Collection<String> predicatesWithGap = null; | 47 | private Collection<String> predicatesWithGap = null; |
| 47 | private SatisfiabilityStatus satisfiable; | 48 | private SatisfiabilityStatus satisfiable; |
| 48 | private ConsistencyManager consistency = new ConsistencyManager(this); | 49 | private ConsistencyManager consistency = new ConsistencyManager(this); |
| 49 | private boolean useUpperStores = false; | 50 | private boolean useUpperStores = false; |
| 50 | public MyQueryReasoner() { | 51 | |
| 51 | setup(true, true); | 52 | public MyQueryReasoner() { |
| 52 | } | 53 | setup(true, true); |
| 53 | public MyQueryReasoner(boolean multiStageTag, boolean considerEqualities) { | 54 | } |
| 54 | setup(multiStageTag, considerEqualities); | 55 | |
| 55 | } | 56 | public MyQueryReasoner(boolean multiStageTag, boolean considerEqualities) { |
| 56 | 57 | setup(multiStageTag, considerEqualities); | |
| 57 | private BasicQueryEngine getUpperStore(String name, boolean checkValidity) { | 58 | } |
| 58 | if (multiStageTag) | 59 | |
| 59 | return new MultiStageQueryEngine(name, checkValidity); | 60 | public void setup(boolean multiStageTag, boolean considerEqualities) { |
| 60 | // return new TwoStageQueryEngine(name, checkValidity); | 61 | if(isDisposed()) throw new DisposedException(); |
| 61 | else | 62 | satisfiable = SatisfiabilityStatus.UNCHECKED; |
| 62 | return new BasicQueryEngine(name); | 63 | this.multiStageTag = multiStageTag; |
| 63 | } | 64 | this.equalityTag = considerEqualities; |
| 64 | 65 | ||
| 65 | public void setup(boolean multiStageTag, boolean considerEqualities) { | 66 | rlLowerStore = new BasicQueryEngine("rl-lower-bound"); |
| 66 | satisfiable = SatisfiabilityStatus.UNCHECKED; | 67 | elLowerStore = new KarmaQueryEngine("elho-lower-bound"); |
| 67 | this.multiStageTag = multiStageTag; | 68 | |
| 68 | this.equalityTag = considerEqualities; | 69 | trackingStore = getUpperStore("tracking", false); |
| 69 | 70 | } | |
| 70 | rlLowerStore = new BasicQueryEngine("rl-lower-bound"); | 71 | |
| 71 | elLowerStore = new KarmaQueryEngine("elho-lower-bound"); | 72 | @Override |
| 72 | 73 | public void loadOntology(OWLOntology o) { | |
| 73 | trackingStore = getUpperStore("tracking", false); | 74 | if(isDisposed()) throw new DisposedException(); |
| 74 | } | 75 | if(!equalityTag) { |
| 75 | 76 | EqualitiesEliminator eliminator = new EqualitiesEliminator(o); | |
| 76 | protected void internal_importDataFile(String name, String datafile) { | 77 | o = eliminator.getOutputOntology(); |
| 77 | // addDataFile(datafile); | 78 | eliminator.save(); |
| 78 | rlLowerStore.importRDFData(name, datafile); | 79 | } |
| 79 | if (lazyUpperStore != null) | 80 | |
| 80 | lazyUpperStore.importRDFData(name, datafile); | 81 | ontology = o; |
| 81 | elLowerStore.importRDFData(name, datafile); | 82 | program = new DatalogProgram(ontology, properties.getToClassify()); |
| 82 | trackingStore.importRDFData(name, datafile); | ||
| 83 | } | ||
| 84 | |||
| 85 | @Override | ||
| 86 | public void loadOntology(OWLOntology o) { | ||
| 87 | if(!equalityTag) { | ||
| 88 | EqualitiesEliminator eliminator = new EqualitiesEliminator(o); | ||
| 89 | o = eliminator.getOutputOntology(); | ||
| 90 | eliminator.save(); | ||
| 91 | } | ||
| 92 | |||
| 93 | ontology = o; | ||
| 94 | program = new DatalogProgram(ontology, properties.getToClassify()); | ||
| 95 | // program.getLower().save(); | 83 | // program.getLower().save(); |
| 96 | // program.getUpper().save(); | 84 | // program.getUpper().save(); |
| 97 | // program.getGeneral().save(); | 85 | // program.getGeneral().save(); |
| 98 | 86 | ||
| 99 | useUpperStores = multiStageTag && !program.getGeneral().isHorn(); | 87 | useUpperStores = multiStageTag && !program.getGeneral().isHorn(); |
| 100 | if(useUpperStores) { | 88 | if(useUpperStores) { |
| 101 | lazyUpperStore = getUpperStore("lazy-upper-bound", true); | 89 | lazyUpperStore = getUpperStore("lazy-upper-bound", true); |
| 102 | // limitedSkolemUpperStore = getUpperStore("limited-skolem-upper-bound", true); | 90 | limitedSkolemUpperStore = new MultiStageQueryEngine("limited-skolem-upper-bound", true); |
| 103 | } | 91 | } |
| 104 | 92 | ||
| 105 | importData(program.getAdditionalDataFile()); | 93 | importData(program.getAdditionalDataFile()); |
| 106 | 94 | ||
| 107 | elho_ontology = new ELHOProfile().getFragment(ontology); | 95 | elho_ontology = new ELHOProfile().getFragment(ontology); |
| 108 | elLowerStore.processOntology(elho_ontology); | 96 | elLowerStore.processOntology(elho_ontology); |
| 109 | } | 97 | } |
| 110 | 98 | ||
| 111 | public Collection<String> getPredicatesWithGap() { | 99 | public Collection<String> getPredicatesWithGap() { |
| 112 | return predicatesWithGap; | 100 | if(isDisposed()) throw new DisposedException(); |
| 113 | } | 101 | return predicatesWithGap; |
| 102 | } | ||
| 114 | 103 | ||
| 115 | @Override | 104 | @Override |
| 116 | public boolean preprocess() { | 105 | public boolean preprocess() { |
| 117 | t.reset(); | 106 | if(isDisposed()) throw new DisposedException(); |
| 118 | Utility.logInfo("Preprocessing... checking satisfiability... "); | 107 | t.reset(); |
| 108 | Utility.logInfo("Preprocessing... checking satisfiability... "); | ||
| 119 | 109 | ||
| 120 | String name = "data", datafile = importedData.toString(); | 110 | String name = "data", datafile = importedData.toString(); |
| 121 | rlLowerStore.importRDFData(name, datafile); | 111 | rlLowerStore.importRDFData(name, datafile); |
| 122 | rlLowerStore.materialise("lower program", program.getLower().toString()); | 112 | rlLowerStore.materialise("lower program", program.getLower().toString()); |
| 123 | // program.getLower().save(); | 113 | // program.getLower().save(); |
| 124 | if(!consistency.checkRLLowerBound()) return false; | 114 | if(!consistency.checkRLLowerBound()) return false; |
| 125 | Utility.logInfo("The number of sameAs assertions in RL lower store: " + rlLowerStore.getSameAsNumber()); | 115 | Utility.logInfo("The number of sameAs assertions in RL lower store: " + rlLowerStore.getSameAsNumber()); |
| 126 | 116 | ||
| 127 | String originalMarkProgram = OWLHelper.getOriginalMarkProgram(ontology); | 117 | String originalMarkProgram = OWLHelper.getOriginalMarkProgram(ontology); |
| 128 | 118 | ||
| 129 | elLowerStore.importRDFData(name, datafile); | 119 | elLowerStore.importRDFData(name, datafile); |
| 130 | elLowerStore.materialise("saturate named individuals", originalMarkProgram); | 120 | elLowerStore.materialise("saturate named individuals", originalMarkProgram); |
| 131 | elLowerStore.materialise("lower program", program.getLower().toString()); | 121 | elLowerStore.materialise("lower program", program.getLower().toString()); |
| 132 | elLowerStore.initialiseKarma(); | 122 | elLowerStore.initialiseKarma(); |
| 133 | if(!consistency.checkELLowerBound()) return false; | 123 | if(!consistency.checkELLowerBound()) return false; |
| 134 | 124 | ||
| 135 | if(lazyUpperStore != null) { | 125 | if(lazyUpperStore != null) { |
| 136 | lazyUpperStore.importRDFData(name, datafile); | 126 | lazyUpperStore.importRDFData(name, datafile); |
| 137 | lazyUpperStore.materialise("saturate named individuals", originalMarkProgram); | 127 | lazyUpperStore.materialise("saturate named individuals", originalMarkProgram); |
| 138 | int tag = lazyUpperStore.materialiseRestrictedly(program, null); | 128 | int tag = lazyUpperStore.materialiseRestrictedly(program, null); |
| 139 | if(tag != 1) { | 129 | if(tag != 1) { |
| 140 | lazyUpperStore.dispose(); | 130 | lazyUpperStore.dispose(); |
| 141 | lazyUpperStore = null; | 131 | lazyUpperStore = null; |
| 142 | } | 132 | } |
| 143 | if(tag == -1) return false; | 133 | if(tag == -1) return false; |
| 144 | } | 134 | } |
| 145 | if(consistency.checkUpper(lazyUpperStore)) { | 135 | if(consistency.checkUpper(lazyUpperStore)) { |
| 146 | satisfiable = SatisfiabilityStatus.SATISFIABLE; | 136 | satisfiable = SatisfiabilityStatus.SATISFIABLE; |
| 147 | Utility.logInfo("time for satisfiability checking: " + t.duration()); | 137 | Utility.logInfo("time for satisfiability checking: " + t.duration()); |
| 148 | } | 138 | } |
| 149 | 139 | ||
| 150 | // if(limitedSkolemUpperStore != null) { | 140 | if(limitedSkolemUpperStore != null) { |
| 151 | // limitedSkolemUpperStore.importRDFData(name, datafile); | 141 | limitedSkolemUpperStore.importRDFData(name, datafile); |
| 152 | // limitedSkolemUpperStore.materialise("saturate named individuals", originalMarkProgram); | 142 | limitedSkolemUpperStore.materialise("saturate named individuals", originalMarkProgram); |
| 153 | // int tag = limitedSkolemUpperStore.materialiseSkolemly(program, null); | 143 | int tag = limitedSkolemUpperStore.materialiseSkolemly(program, null); |
| 154 | // if(tag != 1) { | 144 | if(tag != 1) { |
| 155 | // limitedSkolemUpperStore.dispose(); | 145 | limitedSkolemUpperStore.dispose(); |
| 156 | // limitedSkolemUpperStore = null; | 146 | limitedSkolemUpperStore = null; |
| 157 | // } | 147 | } |
| 158 | // if(tag == -1) return false; | 148 | if(tag == -1) return false; |
| 159 | // } | 149 | } |
| 160 | // if(satisfiable == SatisfiabilityStatus.UNCHECKED && consistency.checkUpper(limitedSkolemUpperStore)) { | 150 | if(satisfiable == SatisfiabilityStatus.UNCHECKED && consistency.checkUpper(limitedSkolemUpperStore)) { |
| 161 | // satisfiable = SatisfiabilityStatus.SATISFIABLE; | 151 | satisfiable = SatisfiabilityStatus.SATISFIABLE; |
| 162 | // Utility.logInfo("time for satisfiability checking: " + t.duration()); | 152 | Utility.logInfo("time for satisfiability checking: " + t.duration()); |
| 163 | // } | 153 | } |
| 164 | 154 | ||
| 165 | trackingStore.importRDFData(name, datafile); | 155 | trackingStore.importRDFData(name, datafile); |
| 166 | trackingStore.materialise("saturate named individuals", originalMarkProgram); | 156 | trackingStore.materialise("saturate named individuals", originalMarkProgram); |
| 167 | 157 | ||
| 168 | // materialiseFullUpper(); | 158 | // materialiseFullUpper(); |
| 169 | // GapByStore4ID gap = new GapByStore4ID(trackingStore); | 159 | // GapByStore4ID gap = new GapByStore4ID(trackingStore); |
| 170 | GapByStore4ID gap = new GapByStore4ID2(trackingStore, rlLowerStore); | 160 | GapByStore4ID gap = new GapByStore4ID2(trackingStore, rlLowerStore); |
| 171 | trackingStore.materialiseFoldedly(program, gap); | 161 | trackingStore.materialiseFoldedly(program, gap); |
| 172 | predicatesWithGap = gap.getPredicatesWithGap(); | 162 | predicatesWithGap = gap.getPredicatesWithGap(); |
| 173 | gap.clear(); | 163 | gap.clear(); |
| 174 | 164 | ||
| 175 | if(program.getGeneral().isHorn()) | 165 | if(program.getGeneral().isHorn()) |
| 176 | encoder = new TrackingRuleEncoderWithGap(program.getUpper(), trackingStore); | 166 | encoder = new TrackingRuleEncoderWithGap(program.getUpper(), trackingStore); |
| 177 | else | 167 | else |
| 178 | encoder = new TrackingRuleEncoderDisjVar1(program.getUpper(), trackingStore); | 168 | encoder = new TrackingRuleEncoderDisjVar1(program.getUpper(), trackingStore); |
| 179 | // encoder = new TrackingRuleEncoderDisj1(program.getUpper(), trackingStore); | 169 | // encoder = new TrackingRuleEncoderDisj1(program.getUpper(), trackingStore); |
| 180 | // encoder = new TrackingRuleEncoderDisjVar2(program.getUpper(), trackingStore); | 170 | // encoder = new TrackingRuleEncoderDisjVar2(program.getUpper(), trackingStore); |
| 181 | // encoder = new TrackingRuleEncoderDisj2(program.getUpper(), trackingStore); | 171 | // encoder = new TrackingRuleEncoderDisj2(program.getUpper(), trackingStore); |
| 182 | 172 | ||
| 183 | program.deleteABoxTurtleFile(); | 173 | if(!isConsistent()) |
| 184 | 174 | return false; | |
| 185 | if(!isConsistent()) | 175 | |
| 186 | return false; | 176 | consistency.extractBottomFragment(); |
| 187 | 177 | consistency.dispose(); | |
| 188 | consistency.extractBottomFragment(); | 178 | |
| 189 | consistency.dispose(); | 179 | program.dispose(); |
| 190 | 180 | ||
| 191 | return true; | 181 | return true; |
| 192 | } | 182 | } |
| 193 | 183 | ||
| 194 | @Override | 184 | @Override |
| 195 | public boolean isConsistent() { | 185 | public boolean isConsistent() { |
| 196 | if(satisfiable == SatisfiabilityStatus.UNCHECKED) { | 186 | if(isDisposed()) throw new DisposedException(); |
| 197 | satisfiable = consistency.check() ? SatisfiabilityStatus.SATISFIABLE : SatisfiabilityStatus.UNSATISFIABLE; | 187 | if(satisfiable == SatisfiabilityStatus.UNCHECKED) { |
| 198 | Utility.logInfo("time for satisfiability checking: " + t.duration()); | 188 | satisfiable = consistency.check() ? SatisfiabilityStatus.SATISFIABLE : SatisfiabilityStatus.UNSATISFIABLE; |
| 199 | } | 189 | Utility.logInfo("time for satisfiability checking: " + t.duration()); |
| 200 | return satisfiable == SatisfiabilityStatus.SATISFIABLE; | 190 | } |
| 201 | } | 191 | return satisfiable == SatisfiabilityStatus.SATISFIABLE; |
| 202 | 192 | } | |
| 203 | /** | 193 | |
| 204 | * It deals with blanks nodes differently from variables | 194 | @Override |
| 205 | * according to SPARQL semantics for OWL2 Entailment Regime. | 195 | public void evaluate(QueryRecord queryRecord) { |
| 206 | * <p> | 196 | if(isDisposed()) throw new DisposedException(); |
| 207 | * In particular variables are matched only against named individuals, | 197 | if(queryBounds(queryRecord)) |
| 208 | * and blank nodes against named and anonymous individuals. | 198 | return; |
| 209 | */ | 199 | |
| 210 | private boolean queryUpperStore(BasicQueryEngine upperStore, QueryRecord queryRecord, | 200 | OWLOntology relevantOntologySubset = extractRelevantOntologySubset(queryRecord); |
| 211 | Tuple<String> extendedQuery, Step step) { | 201 | |
| 212 | 202 | int aBoxCount = relevantOntologySubset.getABoxAxioms(true).size(); | |
| 213 | if(queryRecord.hasNonAnsDistinguishedVariables()) | 203 | Utility.logInfo("Relevant ontology subset: ABox_axioms=" + aBoxCount + " TBox_axioms=" + (relevantOntologySubset |
| 214 | queryUpperBound(upperStore, queryRecord, extendedQuery.get(0), queryRecord.getAnswerVariables()); | 204 | .getAxiomCount() - aBoxCount)); |
| 215 | else | 205 | // queryRecord.saveRelevantOntology("fragment_query" + queryRecord.getQueryID() + ".owl"); |
| 216 | queryUpperBound(upperStore, queryRecord, queryRecord.getQueryText(), queryRecord.getAnswerVariables()); | 206 | |
| 217 | 207 | if(querySkolemisedRelevantSubset(relevantOntologySubset, queryRecord)) | |
| 218 | queryRecord.addProcessingTime(step, t.duration()); | 208 | return; |
| 219 | if(queryRecord.isProcessed()) { | 209 | |
| 220 | queryRecord.setDifficulty(step); | 210 | Timer t = new Timer(); |
| 221 | return true; | 211 | Checker summarisedChecker = new HermitSummaryFilter(queryRecord, properties.getToCallHermiT()); |
| 222 | } | 212 | summarisedChecker.check(queryRecord.getGapAnswers()); |
| 223 | return false; | 213 | summarisedChecker.dispose(); |
| 224 | } | 214 | Utility.logDebug("Total time for full reasoner: " + t.duration()); |
| 225 | 215 | queryRecord.markAsProcessed(); | |
| 226 | /** | 216 | Utility.logDebug("Difficulty of this query: " + queryRecord.getDifficulty()); |
| 227 | * Returns the part of the ontology relevant for Hermit, while computing the bound answers. | 217 | } |
| 228 | * */ | 218 | |
| 229 | private boolean queryBounds(QueryRecord queryRecord) { | 219 | @Override |
| 230 | AnswerTuples rlAnswer = null, elAnswer = null; | 220 | public void evaluateUpper(QueryRecord queryRecord) { |
| 231 | 221 | if(isDisposed()) throw new DisposedException(); | |
| 232 | t.reset(); | 222 | // TODO add new upper store |
| 233 | try { | 223 | AnswerTuples rlAnswer = null; |
| 234 | rlAnswer = rlLowerStore.evaluate(queryRecord.getQueryText(), queryRecord.getAnswerVariables()); | 224 | boolean useFull = queryRecord.isBottom() || lazyUpperStore == null; |
| 235 | Utility.logDebug(t.duration()); | 225 | try { |
| 236 | queryRecord.updateLowerBoundAnswers(rlAnswer); | 226 | rlAnswer = |
| 237 | } finally { | 227 | (useFull ? trackingStore : lazyUpperStore).evaluate(queryRecord.getQueryText(), queryRecord.getAnswerVariables()); |
| 238 | if (rlAnswer != null) rlAnswer.dispose(); | 228 | queryRecord.updateUpperBoundAnswers(rlAnswer, true); |
| 239 | } | 229 | } finally { |
| 240 | queryRecord.addProcessingTime(Step.LOWER_BOUND, t.duration()); | 230 | if(rlAnswer != null) rlAnswer.dispose(); |
| 241 | 231 | } | |
| 242 | t.reset(); | 232 | } |
| 243 | 233 | ||
| 244 | Tuple<String> extendedQueryTexts = queryRecord.getExtendedQueryText(); | 234 | @Override |
| 245 | 235 | public void dispose() { | |
| 246 | Utility.logDebug("Tracking store"); | 236 | super.dispose(); |
| 247 | if(queryUpperStore(trackingStore, queryRecord, extendedQueryTexts, Step.SIMPLE_UPPER_BOUND)) | 237 | |
| 248 | return true; | 238 | if(encoder != null) encoder.dispose(); |
| 249 | 239 | if(rlLowerStore != null) rlLowerStore.dispose(); | |
| 250 | if(!queryRecord.isBottom()) { | 240 | if(lazyUpperStore != null) lazyUpperStore.dispose(); |
| 251 | Utility.logDebug("Lazy store"); | 241 | if(elLowerStore != null) elLowerStore.dispose(); |
| 252 | if(lazyUpperStore != null && queryUpperStore(lazyUpperStore, queryRecord, extendedQueryTexts, Step.LAZY_UPPER_BOUND)) | 242 | if(trackingStore != null) trackingStore.dispose(); |
| 253 | return true; | 243 | if(limitedSkolemUpperStore != null) limitedSkolemUpperStore.dispose(); |
| 244 | |||
| 245 | } | ||
| 246 | |||
| 247 | private BasicQueryEngine getUpperStore(String name, boolean checkValidity) { | ||
| 248 | if(multiStageTag) | ||
| 249 | return new MultiStageQueryEngine(name, checkValidity); | ||
| 250 | // return new TwoStageQueryEngine(name, checkValidity); | ||
| 251 | else | ||
| 252 | return new BasicQueryEngine(name); | ||
| 253 | } | ||
| 254 | |||
| 255 | protected void internal_importDataFile(String name, String datafile) { | ||
| 256 | // addDataFile(datafile); | ||
| 257 | rlLowerStore.importRDFData(name, datafile); | ||
| 258 | if(lazyUpperStore != null) | ||
| 259 | lazyUpperStore.importRDFData(name, datafile); | ||
| 260 | elLowerStore.importRDFData(name, datafile); | ||
| 261 | trackingStore.importRDFData(name, datafile); | ||
| 262 | } | ||
| 263 | |||
| 264 | /** | ||
| 265 | * It deals with blanks nodes differently from variables | ||
| 266 | * according to SPARQL semantics for OWL2 Entailment Regime. | ||
| 267 | * <p> | ||
| 268 | * In particular variables are matched only against named individuals, | ||
| 269 | * and blank nodes against named and anonymous individuals. | ||
| 270 | */ | ||
| 271 | private boolean queryUpperStore(BasicQueryEngine upperStore, QueryRecord queryRecord, | ||
| 272 | Tuple<String> extendedQuery, Step step) { | ||
| 273 | |||
| 274 | if(queryRecord.hasNonAnsDistinguishedVariables()) | ||
| 275 | queryUpperBound(upperStore, queryRecord, extendedQuery.get(0), queryRecord.getAnswerVariables()); | ||
| 276 | else | ||
| 277 | queryUpperBound(upperStore, queryRecord, queryRecord.getQueryText(), queryRecord.getAnswerVariables()); | ||
| 278 | |||
| 279 | queryRecord.addProcessingTime(step, t.duration()); | ||
| 280 | if(queryRecord.isProcessed()) { | ||
| 281 | queryRecord.setDifficulty(step); | ||
| 282 | return true; | ||
| 283 | } | ||
| 284 | return false; | ||
| 285 | } | ||
| 286 | |||
| 287 | /** | ||
| 288 | * Returns the part of the ontology relevant for Hermit, while computing the bound answers. | ||
| 289 | */ | ||
| 290 | private boolean queryBounds(QueryRecord queryRecord) { | ||
| 291 | AnswerTuples rlAnswer = null, elAnswer = null; | ||
| 292 | |||
| 293 | t.reset(); | ||
| 294 | try { | ||
| 295 | rlAnswer = rlLowerStore.evaluate(queryRecord.getQueryText(), queryRecord.getAnswerVariables()); | ||
| 296 | Utility.logDebug(t.duration()); | ||
| 297 | queryRecord.updateLowerBoundAnswers(rlAnswer); | ||
| 298 | } finally { | ||
| 299 | if(rlAnswer != null) rlAnswer.dispose(); | ||
| 300 | } | ||
| 301 | queryRecord.addProcessingTime(Step.LOWER_BOUND, t.duration()); | ||
| 302 | |||
| 303 | t.reset(); | ||
| 304 | |||
| 305 | Tuple<String> extendedQueryTexts = queryRecord.getExtendedQueryText(); | ||
| 306 | |||
| 307 | Utility.logDebug("Tracking store"); | ||
| 308 | if(queryUpperStore(trackingStore, queryRecord, extendedQueryTexts, Step.SIMPLE_UPPER_BOUND)) | ||
| 309 | return true; | ||
| 310 | |||
| 311 | if(!queryRecord.isBottom()) { | ||
| 312 | Utility.logDebug("Lazy store"); | ||
| 313 | if(lazyUpperStore != null && queryUpperStore(lazyUpperStore, queryRecord, extendedQueryTexts, Step.LAZY_UPPER_BOUND)) | ||
| 314 | return true; | ||
| 254 | // Utility.logDebug("Skolem store"); | 315 | // Utility.logDebug("Skolem store"); |
| 255 | // if(limitedSkolemUpperStore != null && queryUpperStore(limitedSkolemUpperStore, queryRecord, extendedQueryTexts, Step.L_SKOLEM_UPPER_BOUND)) | 316 | // if(limitedSkolemUpperStore != null && queryUpperStore(limitedSkolemUpperStore, queryRecord, extendedQueryTexts, Step.L_SKOLEM_UPPER_BOUND)) |
| 256 | // return null; | 317 | // return null; |
| 257 | } | 318 | } |
| 258 | 319 | ||
| 259 | t.reset(); | 320 | t.reset(); |
| 260 | try { | 321 | try { |
| 261 | elAnswer = elLowerStore.evaluate(extendedQueryTexts.get(0), | 322 | elAnswer = elLowerStore.evaluate(extendedQueryTexts.get(0), |
| 262 | queryRecord.getAnswerVariables(), | 323 | queryRecord.getAnswerVariables(), |
| 263 | queryRecord.getLowerBoundAnswers()); | 324 | queryRecord.getLowerBoundAnswers()); |
| 264 | Utility.logDebug(t.duration()); | 325 | Utility.logDebug(t.duration()); |
| 265 | queryRecord.updateLowerBoundAnswers(elAnswer); | 326 | queryRecord.updateLowerBoundAnswers(elAnswer); |
| 266 | } finally { | 327 | } finally { |
| 267 | if (elAnswer != null) elAnswer.dispose(); | 328 | if(elAnswer != null) elAnswer.dispose(); |
| 268 | } | 329 | } |
| 269 | queryRecord.addProcessingTime(Step.EL_LOWER_BOUND, t.duration()); | 330 | queryRecord.addProcessingTime(Step.EL_LOWER_BOUND, t.duration()); |
| 270 | 331 | ||
| 271 | if(queryRecord.isProcessed()) { | 332 | if(queryRecord.isProcessed()) { |
| 272 | queryRecord.setDifficulty(Step.EL_LOWER_BOUND); | 333 | queryRecord.setDifficulty(Step.EL_LOWER_BOUND); |
| 273 | return true; | 334 | return true; |
| 274 | } | 335 | } |
| 275 | 336 | ||
| 276 | return false; | 337 | return false; |
| 277 | } | 338 | } |
| 278 | 339 | ||
| 279 | private OWLOntology extractRelevantOntologySubset(QueryRecord queryRecord) { | 340 | private OWLOntology extractRelevantOntologySubset(QueryRecord queryRecord) { |
| 280 | t.reset(); | 341 | t.reset(); |
| 281 | 342 | ||
| 282 | QueryTracker tracker = new QueryTracker(encoder, rlLowerStore, queryRecord); | 343 | QueryTracker tracker = new QueryTracker(encoder, rlLowerStore, queryRecord); |
| 283 | OWLOntology relevantOntologySubset = tracker.extract(trackingStore, consistency.getQueryRecords(), true); | 344 | OWLOntology relevantOntologySubset = tracker.extract(trackingStore, consistency.getQueryRecords(), true); |
| 284 | 345 | ||
| 285 | queryRecord.addProcessingTime(Step.FRAGMENT, t.duration()); | 346 | queryRecord.addProcessingTime(Step.FRAGMENT, t.duration()); |
| 286 | 347 | ||
| 287 | return relevantOntologySubset; | 348 | return relevantOntologySubset; |
| 288 | } | 349 | } |
| 289 | 350 | ||
| 290 | private void queryUpperBound(BasicQueryEngine upperStore, QueryRecord queryRecord, String queryText, String[] answerVariables) { | 351 | private void queryUpperBound(BasicQueryEngine upperStore, QueryRecord queryRecord, String queryText, String[] answerVariables) { |
| 291 | AnswerTuples rlAnswer = null; | 352 | AnswerTuples rlAnswer = null; |
| 292 | try { | 353 | try { |
| 293 | Utility.logDebug(queryText); | 354 | Utility.logDebug(queryText); |
| 294 | rlAnswer = upperStore.evaluate(queryText, answerVariables); | 355 | rlAnswer = upperStore.evaluate(queryText, answerVariables); |
| 295 | Utility.logDebug(t.duration()); | 356 | Utility.logDebug(t.duration()); |
| 296 | queryRecord.updateUpperBoundAnswers(rlAnswer); | 357 | queryRecord.updateUpperBoundAnswers(rlAnswer); |
| 297 | } finally { | 358 | } finally { |
| 298 | if(rlAnswer != null) rlAnswer.dispose(); | 359 | if(rlAnswer != null) rlAnswer.dispose(); |
| 299 | } | 360 | } |
| 300 | } | 361 | } |
| 301 | 362 | ||
| 302 | @Override | 363 | private boolean querySkolemisedRelevantSubset(OWLOntology relevantSubset, QueryRecord queryRecord) { |
| 303 | public void evaluate(QueryRecord queryRecord) { | 364 | DatalogProgram relevantProgram = new DatalogProgram(relevantSubset, false); // toClassify is false |
| 304 | if(queryBounds(queryRecord)) | 365 | |
| 305 | return; | 366 | MultiStageQueryEngine relevantStore = |
| 306 | 367 | new MultiStageQueryEngine("Relevant-store", true); // checkValidity is true | |
| 307 | OWLOntology relevantOntologySubset = extractRelevantOntologySubset(queryRecord); | 368 | // relevantStore.importRDFData("data", relevantProgram.getAdditionalDataFile()); // tried, doesn't work |
| 308 | 369 | relevantStore.importDataFromABoxOf(relevantSubset); | |
| 309 | int aBoxCount = relevantOntologySubset.getABoxAxioms(true).size(); | 370 | |
| 310 | Utility.logInfo("Relevant ontology subset: ABox_axioms=" + aBoxCount + " TBox_axioms=" + (relevantOntologySubset | 371 | int materialisationResult = relevantStore.materialiseSkolemly(relevantProgram, null); |
| 311 | .getAxiomCount() - aBoxCount)); | 372 | // int materialisationResult = relevantStore.materialiseRestrictedly(relevantProgram, null); // DOESN'T WORK!!! |
| 312 | // queryRecord.saveRelevantOntology("fragment_query" + queryRecord.getQueryID() + ".owl"); | 373 | if(materialisationResult != 1) |
| 313 | 374 | throw new RuntimeException("Skolemised materialisation error"); // TODO check consistency | |
| 314 | if(querySkolemisedRelevantSubset(relevantOntologySubset, queryRecord)) | ||
| 315 | return; | ||
| 316 | |||
| 317 | Timer t = new Timer(); | ||
| 318 | Checker summarisedChecker = new HermitSummaryFilter(queryRecord, properties.getToCallHermiT()); | ||
| 319 | summarisedChecker.check(queryRecord.getGapAnswers()); | ||
| 320 | summarisedChecker.dispose(); | ||
| 321 | Utility.logDebug("Total time for full reasoner: " + t.duration()); | ||
| 322 | queryRecord.markAsProcessed(); | ||
| 323 | Utility.logDebug("Difficulty of this query: " + queryRecord.getDifficulty()); | ||
| 324 | } | ||
| 325 | |||
| 326 | private boolean querySkolemisedRelevantSubset(OWLOntology relevantSubset, QueryRecord queryRecord) { | ||
| 327 | MultiStageQueryEngine relevantStore = | ||
| 328 | new MultiStageQueryEngine("Relevant-store", true); // checkValidity is true | ||
| 329 | DatalogProgram relevantProgram = new DatalogProgram(relevantSubset, false); // toClassify is false | ||
| 330 | |||
| 331 | // relevantStore.importRDFData("data", importedData.toString()); // 2 answers more | ||
| 332 | relevantStore.importDataFromABoxOf(relevantSubset); | ||
| 333 | |||
| 334 | int materialisationResult = relevantStore.materialiseSkolemly(relevantProgram, null); | ||
| 335 | if(materialisationResult != 1) | ||
| 336 | throw new RuntimeException("Skolemised materialisation error"); // TODO check consistency | ||
| 337 | // relevantStore.materialiseRestrictedly(relevantProgram, null); // it has been tried | 375 | // relevantStore.materialiseRestrictedly(relevantProgram, null); // it has been tried |
| 338 | 376 | ||
| 339 | return queryUpperStore(relevantStore, queryRecord, queryRecord.getExtendedQueryText(), Step.L_SKOLEM_UPPER_BOUND); | 377 | return queryUpperStore(relevantStore, queryRecord, queryRecord.getExtendedQueryText(), Step.L_SKOLEM_UPPER_BOUND); |
| 340 | 378 | ||
| 341 | // the following has been tried | 379 | // return queryUpperStore(limitedSkolemUpperStore, queryRecord, queryRecord.getExtendedQueryText(), Step.L_SKOLEM_UPPER_BOUND); |
| 342 | // Tuple<String> extendedQueryText = queryRecord.getExtendedQueryText(); | 380 | } |
| 343 | // if(queryRecord.hasNonAnsDistinguishedVariables()) { | 381 | |
| 344 | // queryUpperBound(relevantStore, queryRecord, extendedQueryText.get(0), queryRecord.getAnswerVariables()); | 382 | enum SatisfiabilityStatus {SATISFIABLE, UNSATISFIABLE, UNCHECKED} |
| 345 | // queryUpperBound(relevantStore, queryRecord, extendedQueryText.get(1), queryRecord.getDistinguishedVariables()); | ||
| 346 | // } | ||
| 347 | // else | ||
| 348 | // queryUpperBound(relevantStore, queryRecord, queryRecord.getQueryText(), queryRecord.getAnswerVariables()); | ||
| 349 | // | ||
| 350 | // return queryRecord.isProcessed(); | ||
| 351 | |||
| 352 | } | ||
| 353 | |||
| 354 | @Override | ||
| 355 | public void evaluateUpper(QueryRecord queryRecord) { | ||
| 356 | // TODO add new upper store | ||
| 357 | AnswerTuples rlAnswer = null; | ||
| 358 | boolean useFull = queryRecord.isBottom() || lazyUpperStore == null; | ||
| 359 | try { | ||
| 360 | rlAnswer = | ||
| 361 | (useFull ? trackingStore : lazyUpperStore).evaluate(queryRecord.getQueryText(), queryRecord.getAnswerVariables()); | ||
| 362 | queryRecord.updateUpperBoundAnswers(rlAnswer, true); | ||
| 363 | } finally { | ||
| 364 | if(rlAnswer != null) rlAnswer.dispose(); | ||
| 365 | } | ||
| 366 | } | ||
| 367 | |||
| 368 | @Override | ||
| 369 | public void dispose() { | ||
| 370 | if (encoder != null) encoder.dispose(); | ||
| 371 | if (rlLowerStore != null) rlLowerStore.dispose(); | ||
| 372 | if (lazyUpperStore != null) lazyUpperStore.dispose(); | ||
| 373 | if (elLowerStore != null) elLowerStore.dispose(); | ||
| 374 | if (trackingStore != null) trackingStore.dispose(); | ||
| 375 | |||
| 376 | // if(limitedSkolemUpperStore != null) limitedSkolemUpperStore.dispose(); | ||
| 377 | super.dispose(); | ||
| 378 | } | ||
| 379 | |||
| 380 | enum SatisfiabilityStatus {SATISFIABLE, UNSATISFIABLE, UNCHECKED} | ||
| 381 | 383 | ||
| 382 | } | 384 | } |
