diff options
| author | Federico Igne <federico.igne@cs.ox.ac.uk> | 2022-05-12 12:58:40 +0100 |
|---|---|---|
| committer | Federico Igne <federico.igne@cs.ox.ac.uk> | 2022-05-12 12:58:40 +0100 |
| commit | 227e4609bba9969cb7f39e52715fa62cf93cbfbf (patch) | |
| tree | 79041ebefd7ff2763179309955d47484002b647c /src/main/scala/uk | |
| parent | 6532db6a2cc9131e8039bd0c0e53190cc30b3599 (diff) | |
| download | ACQuA-227e4609bba9969cb7f39e52715fa62cf93cbfbf.tar.gz ACQuA-227e4609bba9969cb7f39e52715fa62cf93cbfbf.zip | |
Add initial implementation of ACQuA reasoner
Diffstat (limited to 'src/main/scala/uk')
| -rw-r--r-- | src/main/scala/uk/ac/ox/cs/acqua/reasoner/AcquaQueryReasoner.scala | 489 |
1 files changed, 489 insertions, 0 deletions
diff --git a/src/main/scala/uk/ac/ox/cs/acqua/reasoner/AcquaQueryReasoner.scala b/src/main/scala/uk/ac/ox/cs/acqua/reasoner/AcquaQueryReasoner.scala new file mode 100644 index 0000000..3e65218 --- /dev/null +++ b/src/main/scala/uk/ac/ox/cs/acqua/reasoner/AcquaQueryReasoner.scala | |||
| @@ -0,0 +1,489 @@ | |||
| 1 | /* | ||
| 2 | * Copyright 2021,2022 KRR Oxford | ||
| 3 | * | ||
| 4 | * Licensed under the Apache License, Version 2.0 (the "License"); | ||
| 5 | * you may not use this file except in compliance with the License. | ||
| 6 | * You may obtain a copy of the License at | ||
| 7 | * | ||
| 8 | * http://www.apache.org/licenses/LICENSE-2.0 | ||
| 9 | * | ||
| 10 | * Unless required by applicable law or agreed to in writing, software | ||
| 11 | * distributed under the License is distributed on an "AS IS" BASIS, | ||
| 12 | * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
| 13 | * See the License for the specific language governing permissions and | ||
| 14 | * limitations under the License. | ||
| 15 | */ | ||
| 16 | |||
| 17 | package uk.ac.ox.cs.acqua.reasoner | ||
| 18 | |||
| 19 | import org.semanticweb.karma2.profile.ELHOProfile; | ||
| 20 | import org.semanticweb.owlapi.model.OWLOntology; | ||
| 21 | // import org.semanticweb.owlapi.model.parameters.Imports; | ||
| 22 | // import uk.ac.ox.cs.JRDFox.JRDFStoreException; | ||
| 23 | import uk.ac.ox.cs.pagoda.multistage.MultiStageQueryEngine | ||
| 24 | // import uk.ac.ox.cs.pagoda.owl.EqualitiesEliminator; | ||
| 25 | // import uk.ac.ox.cs.pagoda.owl.OWLHelper; | ||
| 26 | // import uk.ac.ox.cs.pagoda.query.AnswerTuples; | ||
| 27 | // import uk.ac.ox.cs.pagoda.query.GapByStore4ID; | ||
| 28 | // import uk.ac.ox.cs.pagoda.query.GapByStore4ID2; | ||
| 29 | import uk.ac.ox.cs.pagoda.query.QueryRecord | ||
| 30 | // import uk.ac.ox.cs.pagoda.query.QueryRecord.Step; | ||
| 31 | import uk.ac.ox.cs.pagoda.reasoner.{ConsistencyManager,MyQueryReasoner,QueryReasoner} | ||
| 32 | import uk.ac.ox.cs.pagoda.reasoner.light.{KarmaQueryEngine,BasicQueryEngine} | ||
| 33 | import uk.ac.ox.cs.pagoda.rules.DatalogProgram | ||
| 34 | // import uk.ac.ox.cs.pagoda.summary.HermitSummaryFilter; | ||
| 35 | // import uk.ac.ox.cs.pagoda.tracking.QueryTracker; | ||
| 36 | // import uk.ac.ox.cs.pagoda.tracking.TrackingRuleEncoder; | ||
| 37 | // import uk.ac.ox.cs.pagoda.tracking.TrackingRuleEncoderDisjVar1; | ||
| 38 | // import uk.ac.ox.cs.pagoda.tracking.TrackingRuleEncoderWithGap; | ||
| 39 | // import uk.ac.ox.cs.pagoda.util.ExponentialInterpolation; | ||
| 40 | // import uk.ac.ox.cs.pagoda.util.PagodaProperties; | ||
| 41 | import uk.ac.ox.cs.pagoda.util.Timer; | ||
| 42 | import uk.ac.ox.cs.pagoda.util.Utility | ||
| 43 | // import uk.ac.ox.cs.pagoda.util.disposable.DisposedException; | ||
| 44 | // import uk.ac.ox.cs.pagoda.util.tuples.Tuple; | ||
| 45 | import uk.ac.ox.cs.rsacomb.ontology.Ontology | ||
| 46 | |||
| 47 | // import java.util.Collection; | ||
| 48 | // import java.util.LinkedList; | ||
| 49 | |||
| 50 | class AcquaQueryReasoner(var ontology: Ontology) | ||
| 51 | extends QueryReasoner { | ||
| 52 | |||
| 53 | // OWLOntology ontology; | ||
| 54 | // OWLOntology elho_ontology; | ||
| 55 | // DatalogProgram program; | ||
| 56 | |||
| 57 | private var lazyUpperStore: Option[MultiStageQueryEngine] = None; | ||
| 58 | // TrackingRuleEncoder encoder; | ||
| 59 | |||
| 60 | |||
| 61 | // private Collection<String> predicatesWithGap = null; | ||
| 62 | //// private int relevantOntologiesCounter = 0; | ||
| 63 | private val timer: Timer = new Timer(); | ||
| 64 | |||
| 65 | private var _isConsistent: ConsistencyStatus = StatusUnchecked | ||
| 66 | // TODO: explicit casting to MyQueryReasoner makes no sense. Find | ||
| 67 | // another solution. Probably requires changing PAGOdA source code. | ||
| 68 | private val consistencyManager: ConsistencyManager = new ConsistencyManager(this.asInstanceOf[MyQueryReasoner]) | ||
| 69 | |||
| 70 | private val rlLowerStore: BasicQueryEngine = new BasicQueryEngine("rl-lower-bound") | ||
| 71 | private val elLowerStore: KarmaQueryEngine = new KarmaQueryEngine("elho-lower-bound") | ||
| 72 | |||
| 73 | private val trackingStore = new MultiStageQueryEngine("tracking", false); | ||
| 74 | |||
| 75 | /* Load ontology into PAGOdA */ | ||
| 76 | private val datalog = new DatalogProgram(ontology.origin); | ||
| 77 | //datalog.getGeneral().save(); | ||
| 78 | if (!datalog.getGeneral().isHorn()) | ||
| 79 | lazyUpperStore = Some(new MultiStageQueryEngine("lazy-upper-bound", true)) | ||
| 80 | importData(datalog.getAdditionalDataFile()); | ||
| 81 | private val elhoOntology: OWLOntology = new ELHOProfile().getFragment(ontology.origin); | ||
| 82 | elLowerStore.processOntology(elhoOntology); | ||
| 83 | |||
| 84 | |||
| 85 | /** Performs nothing. | ||
| 86 | * | ||
| 87 | * Loading of the ontology is performed at instance creation to avoid | ||
| 88 | * unnecessary complexity (see main class constructor). | ||
| 89 | * | ||
| 90 | * @note Implemented for compatibility with other reasoners. | ||
| 91 | */ | ||
| 92 | def loadOntology(ontology: OWLOntology): Unit = { } | ||
| 93 | |||
| 94 | def preprocess(): Boolean = { | ||
| 95 | ??? | ||
| 96 | } | ||
| 97 | |||
| 98 | /** Returns a the consistency status of the ontology. | ||
| 99 | * | ||
| 100 | * Performs a consistency check if the current status is undefined. | ||
| 101 | * Some logging is performed as well. | ||
| 102 | * | ||
| 103 | * @returns true if the ontology is consistent, false otherwise. | ||
| 104 | */ | ||
| 105 | def isConsistent(): Boolean = { | ||
| 106 | if (_isConsistent == StatusUnchecked) { | ||
| 107 | _isConsistent = consistencyManager.check() | ||
| 108 | Utility logDebug s"time for satisfiability checking: ${timer.duration()}" | ||
| 109 | } | ||
| 110 | Utility logInfo s"The ontology is ${_isConsistent}!" | ||
| 111 | return _isConsistent.asBoolean | ||
| 112 | } | ||
| 113 | |||
| 114 | def evaluate(query: QueryRecord): Unit = { | ||
| 115 | ??? | ||
| 116 | } | ||
| 117 | |||
| 118 | def evaluateUpper(record: QueryRecord): Unit= ??? | ||
| 119 | |||
| 120 | // public Collection<String> getPredicatesWithGap() { | ||
| 121 | // if(isDisposed()) throw new DisposedException(); | ||
| 122 | // return predicatesWithGap; | ||
| 123 | // } | ||
| 124 | |||
| 125 | // @Override | ||
| 126 | // public boolean preprocess() { | ||
| 127 | // if(isDisposed()) throw new DisposedException(); | ||
| 128 | |||
| 129 | // t.reset(); | ||
| 130 | // Utility.logInfo("Preprocessing (and checking satisfiability)..."); | ||
| 131 | |||
| 132 | // String name = "data", datafile = getImportedData(); | ||
| 133 | // rlLowerStore.importRDFData(name, datafile); | ||
| 134 | // rlLowerStore.materialise("lower program", program.getLower().toString()); | ||
| 135 | //// program.getLower().save(); | ||
| 136 | // if(!consistency.checkRLLowerBound()) { | ||
| 137 | // Utility.logDebug("time for satisfiability checking: " + t.duration()); | ||
| 138 | // isConsistent = ConsistencyStatus.INCONSISTENT; | ||
| 139 | // return false; | ||
| 140 | // } | ||
| 141 | // Utility.logDebug("The number of sameAs assertions in RL lower store: " + rlLowerStore.getSameAsNumber()); | ||
| 142 | |||
| 143 | // String originalMarkProgram = OWLHelper.getOriginalMarkProgram(ontology); | ||
| 144 | |||
| 145 | // elLowerStore.importRDFData(name, datafile); | ||
| 146 | // elLowerStore.materialise("saturate named individuals", originalMarkProgram); | ||
| 147 | // elLowerStore.materialise("lower program", program.getLower().toString()); | ||
| 148 | // elLowerStore.initialiseKarma(); | ||
| 149 | // if(!consistency.checkELLowerBound()) { | ||
| 150 | // Utility.logDebug("time for satisfiability checking: " + t.duration()); | ||
| 151 | // isConsistent = ConsistencyStatus.INCONSISTENT; | ||
| 152 | // return false; | ||
| 153 | // } | ||
| 154 | |||
| 155 | // if(lazyUpperStore != null) { | ||
| 156 | // lazyUpperStore.importRDFData(name, datafile); | ||
| 157 | // lazyUpperStore.materialise("saturate named individuals", originalMarkProgram); | ||
| 158 | // int tag = lazyUpperStore.materialiseRestrictedly(program, null); | ||
| 159 | // if(tag == -1) { | ||
| 160 | // Utility.logDebug("time for satisfiability checking: " + t.duration()); | ||
| 161 | // isConsistent = ConsistencyStatus.INCONSISTENT; | ||
| 162 | // return false; | ||
| 163 | // } | ||
| 164 | // else if(tag != 1) { | ||
| 165 | // lazyUpperStore.dispose(); | ||
| 166 | // lazyUpperStore = null; | ||
| 167 | // } | ||
| 168 | // } | ||
| 169 | // if(consistency.checkUpper(lazyUpperStore)) { | ||
| 170 | // isConsistent = ConsistencyStatus.CONSISTENT; | ||
| 171 | // Utility.logDebug("time for satisfiability checking: " + t.duration()); | ||
| 172 | // } | ||
| 173 | |||
| 174 | // trackingStore.importRDFData(name, datafile); | ||
| 175 | // trackingStore.materialise("saturate named individuals", originalMarkProgram); | ||
| 176 | |||
| 177 | //// materialiseFullUpper(); | ||
| 178 | //// GapByStore4ID gap = new GapByStore4ID(trackingStore); | ||
| 179 | // GapByStore4ID gap = new GapByStore4ID2(trackingStore, rlLowerStore); | ||
| 180 | // trackingStore.materialiseFoldedly(program, gap); | ||
| 181 | // predicatesWithGap = gap.getPredicatesWithGap(); | ||
| 182 | // gap.clear(); | ||
| 183 | |||
| 184 | // if(program.getGeneral().isHorn()) | ||
| 185 | // encoder = new TrackingRuleEncoderWithGap(program.getUpper(), trackingStore); | ||
| 186 | // else | ||
| 187 | // encoder = new TrackingRuleEncoderDisjVar1(program.getUpper(), trackingStore); | ||
| 188 | //// encoder = new TrackingRuleEncoderDisj1(program.getUpper(), trackingStore); | ||
| 189 | //// encoder = new TrackingRuleEncoderDisjVar2(program.getUpper(), trackingStore); | ||
| 190 | //// encoder = new TrackingRuleEncoderDisj2(program.getUpper(), trackingStore); | ||
| 191 | |||
| 192 | // // TODO? add consistency check by Skolem-upper-bound | ||
| 193 | |||
| 194 | // if(!isConsistent()) | ||
| 195 | // return false; | ||
| 196 | |||
| 197 | // consistency.extractBottomFragment(); | ||
| 198 | |||
| 199 | // return true; | ||
| 200 | // } | ||
| 201 | |||
| 202 | // @Override | ||
| 203 | // public void evaluate(QueryRecord queryRecord) { | ||
| 204 | // if(isDisposed()) throw new DisposedException(); | ||
| 205 | |||
| 206 | // if(queryLowerAndUpperBounds(queryRecord)) | ||
| 207 | // return; | ||
| 208 | |||
| 209 | // OWLOntology relevantOntologySubset = extractRelevantOntologySubset(queryRecord); | ||
| 210 | |||
| 211 | //// queryRecord.saveRelevantOntology("/home/alessandro/Desktop/test-relevant-ontology-"+relevantOntologiesCounter+".owl"); | ||
| 212 | //// relevantOntologiesCounter++; | ||
| 213 | |||
| 214 | // if(properties.getSkolemUpperBound() == PagodaProperties.SkolemUpperBoundOptions.BEFORE_SUMMARISATION | ||
| 215 | // && querySkolemisedRelevantSubset(relevantOntologySubset, queryRecord)) { | ||
| 216 | // return; | ||
| 217 | // } | ||
| 218 | |||
| 219 | // Utility.logInfo(">> Summarisation <<"); | ||
| 220 | // HermitSummaryFilter summarisedChecker = new HermitSummaryFilter(queryRecord, properties.getToCallHermiT()); | ||
| 221 | // if(summarisedChecker.check(queryRecord.getGapAnswers()) == 0) { | ||
| 222 | // summarisedChecker.dispose(); | ||
| 223 | // return; | ||
| 224 | // } | ||
| 225 | |||
| 226 | // if(properties.getSkolemUpperBound() == PagodaProperties.SkolemUpperBoundOptions.AFTER_SUMMARISATION | ||
| 227 | // && querySkolemisedRelevantSubset(relevantOntologySubset, queryRecord)) { | ||
| 228 | // summarisedChecker.dispose(); | ||
| 229 | // return; | ||
| 230 | // } | ||
| 231 | |||
| 232 | // Utility.logInfo(">> Full reasoning <<"); | ||
| 233 | // Timer t = new Timer(); | ||
| 234 | // summarisedChecker.checkByFullReasoner(queryRecord.getGapAnswers()); | ||
| 235 | // Utility.logDebug("Total time for full reasoner: " + t.duration()); | ||
| 236 | |||
| 237 | // if(properties.getToCallHermiT()) | ||
| 238 | // queryRecord.markAsProcessed(); | ||
| 239 | // summarisedChecker.dispose(); | ||
| 240 | // } | ||
| 241 | |||
| 242 | // @Override | ||
| 243 | // public void evaluateUpper(QueryRecord queryRecord) { | ||
| 244 | // if(isDisposed()) throw new DisposedException(); | ||
| 245 | // // TODO? add new upper store | ||
| 246 | // AnswerTuples rlAnswer = null; | ||
| 247 | // boolean useFull = queryRecord.isBottom() || lazyUpperStore == null; | ||
| 248 | // try { | ||
| 249 | // rlAnswer = | ||
| 250 | // (useFull ? trackingStore : lazyUpperStore).evaluate(queryRecord.getQueryText(), queryRecord.getAnswerVariables()); | ||
| 251 | // queryRecord.updateUpperBoundAnswers(rlAnswer, true); | ||
| 252 | // } finally { | ||
| 253 | // if(rlAnswer != null) rlAnswer.dispose(); | ||
| 254 | // } | ||
| 255 | // } | ||
| 256 | |||
| 257 | // @Override | ||
| 258 | // public void dispose() { | ||
| 259 | // super.dispose(); | ||
| 260 | |||
| 261 | // if(encoder != null) encoder.dispose(); | ||
| 262 | // if(rlLowerStore != null) rlLowerStore.dispose(); | ||
| 263 | // if(lazyUpperStore != null) lazyUpperStore.dispose(); | ||
| 264 | // if(elLowerStore != null) elLowerStore.dispose(); | ||
| 265 | // if(trackingStore != null) trackingStore.dispose(); | ||
| 266 | // if(consistency != null) consistency.dispose(); | ||
| 267 | // if(program != null) program.dispose(); | ||
| 268 | // } | ||
| 269 | |||
| 270 | // protected void internal_importDataFile(String name, String datafile) { | ||
| 271 | //// addDataFile(datafile); | ||
| 272 | // rlLowerStore.importRDFData(name, datafile); | ||
| 273 | // if(lazyUpperStore != null) | ||
| 274 | // lazyUpperStore.importRDFData(name, datafile); | ||
| 275 | // elLowerStore.importRDFData(name, datafile); | ||
| 276 | // trackingStore.importRDFData(name, datafile); | ||
| 277 | // } | ||
| 278 | |||
| 279 | // /** | ||
| 280 | // * It deals with blanks nodes differently from variables | ||
| 281 | // * according to SPARQL semantics for OWL2 Entailment Regime. | ||
| 282 | // * <p> | ||
| 283 | // * In particular variables are matched only against named individuals, | ||
| 284 | // * and blank nodes against named and anonymous individuals. | ||
| 285 | // */ | ||
| 286 | // private boolean queryUpperStore(BasicQueryEngine upperStore, QueryRecord queryRecord, | ||
| 287 | // Tuple<String> extendedQuery, Step step) { | ||
| 288 | // t.reset(); | ||
| 289 | |||
| 290 | // Utility.logDebug("First query type"); | ||
| 291 | // queryUpperBound(upperStore, queryRecord, queryRecord.getQueryText(), queryRecord.getAnswerVariables()); | ||
| 292 | // if(!queryRecord.isProcessed() && !queryRecord.getQueryText().equals(extendedQuery.get(0))) { | ||
| 293 | // Utility.logDebug("Second query type"); | ||
| 294 | // queryUpperBound(upperStore, queryRecord, extendedQuery.get(0), queryRecord.getAnswerVariables()); | ||
| 295 | // } | ||
| 296 | // if(!queryRecord.isProcessed() && queryRecord.hasNonAnsDistinguishedVariables()) { | ||
| 297 | // Utility.logDebug("Third query type"); | ||
| 298 | // queryUpperBound(upperStore, queryRecord, extendedQuery.get(1), queryRecord.getDistinguishedVariables()); | ||
| 299 | // } | ||
| 300 | |||
| 301 | // queryRecord.addProcessingTime(step, t.duration()); | ||
| 302 | // if(queryRecord.isProcessed()) { | ||
| 303 | // queryRecord.setDifficulty(step); | ||
| 304 | // return true; | ||
| 305 | // } | ||
| 306 | // return false; | ||
| 307 | // } | ||
| 308 | |||
| 309 | // /** | ||
| 310 | // * Returns the part of the ontology relevant for Hermit, while computing the bound answers. | ||
| 311 | // */ | ||
| 312 | // private boolean queryLowerAndUpperBounds(QueryRecord queryRecord) { | ||
| 313 | |||
| 314 | // Utility.logInfo(">> Base bounds <<"); | ||
| 315 | |||
| 316 | // AnswerTuples rlAnswer = null, elAnswer = null; | ||
| 317 | |||
| 318 | // t.reset(); | ||
| 319 | // try { | ||
| 320 | // rlAnswer = rlLowerStore.evaluate(queryRecord.getQueryText(), queryRecord.getAnswerVariables()); | ||
| 321 | // Utility.logDebug(t.duration()); | ||
| 322 | // queryRecord.updateLowerBoundAnswers(rlAnswer); | ||
| 323 | // } finally { | ||
| 324 | // if(rlAnswer != null) rlAnswer.dispose(); | ||
| 325 | // } | ||
| 326 | // queryRecord.addProcessingTime(Step.LOWER_BOUND, t.duration()); | ||
| 327 | |||
| 328 | // Tuple<String> extendedQueryTexts = queryRecord.getExtendedQueryText(); | ||
| 329 | |||
| 330 | // if(properties.getUseAlwaysSimpleUpperBound() || lazyUpperStore == null) { | ||
| 331 | // Utility.logDebug("Tracking store"); | ||
| 332 | // if(queryUpperStore(trackingStore, queryRecord, extendedQueryTexts, Step.SIMPLE_UPPER_BOUND)) | ||
| 333 | // return true; | ||
| 334 | // } | ||
| 335 | |||
| 336 | // if(!queryRecord.isBottom()) { | ||
| 337 | // Utility.logDebug("Lazy store"); | ||
| 338 | // if(lazyUpperStore != null && queryUpperStore(lazyUpperStore, queryRecord, extendedQueryTexts, Step.LAZY_UPPER_BOUND)) | ||
| 339 | // return true; | ||
| 340 | // } | ||
| 341 | |||
| 342 | // t.reset(); | ||
| 343 | // try { | ||
| 344 | // elAnswer = elLowerStore.evaluate(extendedQueryTexts.get(0), | ||
| 345 | // queryRecord.getAnswerVariables(), | ||
| 346 | // queryRecord.getLowerBoundAnswers()); | ||
| 347 | // Utility.logDebug(t.duration()); | ||
| 348 | // queryRecord.updateLowerBoundAnswers(elAnswer); | ||
| 349 | // } finally { | ||
| 350 | // if(elAnswer != null) elAnswer.dispose(); | ||
| 351 | // } | ||
| 352 | // queryRecord.addProcessingTime(Step.EL_LOWER_BOUND, t.duration()); | ||
| 353 | |||
| 354 | // if(queryRecord.isProcessed()) { | ||
| 355 | // queryRecord.setDifficulty(Step.EL_LOWER_BOUND); | ||
| 356 | // return true; | ||
| 357 | // } | ||
| 358 | |||
| 359 | // return false; | ||
| 360 | // } | ||
| 361 | |||
| 362 | // private OWLOntology extractRelevantOntologySubset(QueryRecord queryRecord) { | ||
| 363 | // Utility.logInfo(">> Relevant ontology-subset extraction <<"); | ||
| 364 | |||
| 365 | // t.reset(); | ||
| 366 | |||
| 367 | // QueryTracker tracker = new QueryTracker(encoder, rlLowerStore, queryRecord); | ||
| 368 | // OWLOntology relevantOntologySubset = tracker.extract(trackingStore, consistency.getQueryRecords(), true); | ||
| 369 | |||
| 370 | // queryRecord.addProcessingTime(Step.FRAGMENT, t.duration()); | ||
| 371 | |||
| 372 | // int numOfABoxAxioms = relevantOntologySubset.getABoxAxioms(Imports.INCLUDED).size(); | ||
| 373 | // int numOfTBoxAxioms = relevantOntologySubset.getAxiomCount() - numOfABoxAxioms; | ||
| 374 | // Utility.logInfo("Relevant ontology-subset has been extracted: |ABox|=" | ||
| 375 | // + numOfABoxAxioms + ", |TBox|=" + numOfTBoxAxioms); | ||
| 376 | |||
| 377 | // return relevantOntologySubset; | ||
| 378 | // } | ||
| 379 | |||
| 380 | // private void queryUpperBound(BasicQueryEngine upperStore, QueryRecord queryRecord, String queryText, String[] answerVariables) { | ||
| 381 | // AnswerTuples rlAnswer = null; | ||
| 382 | // try { | ||
| 383 | // Utility.logDebug(queryText); | ||
| 384 | // rlAnswer = upperStore.evaluate(queryText, answerVariables); | ||
| 385 | // Utility.logDebug(t.duration()); | ||
| 386 | // queryRecord.updateUpperBoundAnswers(rlAnswer); | ||
| 387 | // } finally { | ||
| 388 | // if(rlAnswer != null) rlAnswer.dispose(); | ||
| 389 | // } | ||
| 390 | // } | ||
| 391 | |||
| 392 | // private boolean querySkolemisedRelevantSubset(OWLOntology relevantSubset, QueryRecord queryRecord) { | ||
| 393 | // Utility.logInfo(">> Semi-Skolemisation <<"); | ||
| 394 | // t.reset(); | ||
| 395 | |||
| 396 | // DatalogProgram relevantProgram = new DatalogProgram(relevantSubset); | ||
| 397 | |||
| 398 | // MultiStageQueryEngine relevantStore = | ||
| 399 | // new MultiStageQueryEngine("Relevant-store", true); // checkValidity is true | ||
| 400 | |||
| 401 | // relevantStore.importDataFromABoxOf(relevantSubset); | ||
| 402 | // String relevantOriginalMarkProgram = OWLHelper.getOriginalMarkProgram(relevantSubset); | ||
| 403 | |||
| 404 | // relevantStore.materialise("Mark original individuals", relevantOriginalMarkProgram); | ||
| 405 | |||
| 406 | // boolean isFullyProcessed = false; | ||
| 407 | // LinkedList<Tuple<Long>> lastTwoTriplesCounts = new LinkedList<>(); | ||
| 408 | // for (int currentMaxTermDepth = 1; !isFullyProcessed; currentMaxTermDepth++) { | ||
| 409 | |||
| 410 | // if(currentMaxTermDepth > properties.getSkolemDepth()) { | ||
| 411 | // Utility.logInfo("Maximum term depth reached"); | ||
| 412 | // break; | ||
| 413 | // } | ||
| 414 | |||
| 415 | // if(lastTwoTriplesCounts.size() == 2) { | ||
| 416 | // if(lastTwoTriplesCounts.get(0).get(1).equals(lastTwoTriplesCounts.get(1).get(1))) | ||
| 417 | // break; | ||
| 418 | |||
| 419 | // ExponentialInterpolation interpolation = new ExponentialInterpolation(lastTwoTriplesCounts.get(0).get(0), | ||
| 420 | // lastTwoTriplesCounts.get(0).get(1), | ||
| 421 | // lastTwoTriplesCounts.get(1).get(0), | ||
| 422 | // lastTwoTriplesCounts.get(1).get(1)); | ||
| 423 | // double triplesEstimate = interpolation.computeValue(currentMaxTermDepth); | ||
| 424 | |||
| 425 | // Utility.logDebug("Estimate of the number of triples:" + triplesEstimate); | ||
| 426 | |||
| 427 | // // exit condition if the query is not fully answered | ||
| 428 | // if(triplesEstimate > properties.getMaxTriplesInSkolemStore()) { | ||
| 429 | // Utility.logInfo("Interrupting Semi-Skolemisation because of triples count limit"); | ||
| 430 | // break; | ||
| 431 | // } | ||
| 432 | // } | ||
| 433 | |||
| 434 | // Utility.logInfo("Trying with maximum depth " + currentMaxTermDepth); | ||
| 435 | |||
| 436 | // int materialisationTag = relevantStore.materialiseSkolemly(relevantProgram, null, | ||
| 437 | // currentMaxTermDepth); | ||
| 438 | // queryRecord.addProcessingTime(Step.SKOLEM_UPPER_BOUND, t.duration()); | ||
| 439 | // if(materialisationTag == -1) { | ||
| 440 | // relevantStore.dispose(); | ||
| 441 | // throw new Error("A consistent ontology has turned out to be " + | ||
| 442 | // "inconsistent in the Skolemises-relevant-upper-store"); | ||
| 443 | // } | ||
| 444 | // else if(materialisationTag != 1) { | ||
| 445 | // Utility.logInfo("Semi-Skolemised relevant upper store cannot be employed"); | ||
| 446 | // break; | ||
| 447 | // } | ||
| 448 | |||
| 449 | // Utility.logInfo("Querying semi-Skolemised upper store..."); | ||
| 450 | // isFullyProcessed = queryUpperStore(relevantStore, queryRecord, | ||
| 451 | // queryRecord.getExtendedQueryText(), | ||
| 452 | // Step.SKOLEM_UPPER_BOUND); | ||
| 453 | |||
| 454 | // try { | ||
| 455 | // lastTwoTriplesCounts.add | ||
| 456 | // (new Tuple<>((long) currentMaxTermDepth, relevantStore.getStoreSize())); | ||
| 457 | // } catch (JRDFStoreException e) { | ||
| 458 | // e.printStackTrace(); | ||
| 459 | // break; | ||
| 460 | // } | ||
| 461 | // if(lastTwoTriplesCounts.size() > 2) | ||
| 462 | // lastTwoTriplesCounts.remove(); | ||
| 463 | |||
| 464 | // Utility.logDebug("Last two triples counts:" + lastTwoTriplesCounts); | ||
| 465 | // } | ||
| 466 | |||
| 467 | // relevantStore.dispose(); | ||
| 468 | // Utility.logInfo("Semi-Skolemised relevant upper store has been evaluated"); | ||
| 469 | // return isFullyProcessed; | ||
| 470 | // } | ||
| 471 | |||
| 472 | private sealed trait ConsistencyStatus { | ||
| 473 | val asBoolean = false | ||
| 474 | } | ||
| 475 | private case object StatusConsistent extends ConsistencyStatus { | ||
| 476 | override val asBoolean = true | ||
| 477 | override def toString(): String = "consistent" | ||
| 478 | } | ||
| 479 | private case object StatusInconsistent extends ConsistencyStatus { | ||
| 480 | override def toString(): String = "inconsistent" | ||
| 481 | } | ||
| 482 | private case object StatusUnchecked extends ConsistencyStatus { | ||
| 483 | override def toString(): String = "N/A" | ||
| 484 | } | ||
| 485 | private implicit def boolean2consistencyStatus(b: Boolean): ConsistencyStatus = { | ||
| 486 | if (b) StatusConsistent else StatusInconsistent | ||
| 487 | } | ||
| 488 | |||
| 489 | } | ||
