function answerUserQuestion($query, $queryWordsArr, $taggedSignificantWords, $scoringTable, $lang)
{
global $is_a_relation_name_ar;
$QURAN_TEXT = getModelEntryFromMemory($lang, "MODEL_CORE", "QURAN_TEXT", "");
// answering by relevance and similarity
$conceptsFromTaxRelations = extendQueryWordsByConceptTaxRelations($taggedSignificantWords, $lang, true);
$COMMON_CONCEPTS_FACTOR = 10;
$COMMON_QUESTION_TYPE_CONCEPTS_FACTOR = 10;
$COMMON_ROOTS_FACTOR = 10;
$COMMON_DERIVATIONS_FACTOR = 10;
$scoredAnswerVersesArr = array();
//preprint_r($taggedSignificantWords);
//echoN($query);
$questionType = containsQuestionWords($query, $lang);
////////// COMMON CONCEPTS IN QUESTION
$conceptsInQuestionTextArr = getConceptsFoundInText($query, $lang);
//preprint_r($conceptsInQuestionTextArr);
///////////////////////////////////////
/////////// GET CONCEPTS FOR THE QUESTION TYPE
/// GET INSTANCE CONCEPTS FROM QUESTION TYPE CLASS
$questionType = cleanAndTrim(strtolower($questionType));
//echoN($questionType);
//$conceptID = $MODEL_QA_ONTOLOGY['CONCEPTS_EN_AR_NAME_MAP'][$questionType];
$conceptID = getModelEntryFromMemory("ALL", "MODEL_QA_ONTOLOGY", "CONCEPTS_EN_AR_NAME_MAP", $questionType);
//echoN($conceptID);
//$relationsOfConceptAsTarget = $MODEL_QA_ONTOLOGY['GRAPH_INDEX_TARGETS'][$conceptID];
$relationsOfConceptAsTarget = getModelEntryFromMemory("ALL", "MODEL_QA_ONTOLOGY", "GRAPH_INDEX_TARGETS", $conceptID);
$questionTypeConceptsArr = array();
foreach ($relationsOfConceptAsTarget as $index => $relArr) {
$verb = $relArr["link_verb"];
$subject = $relArr["source"];
//echoN("CC:$is_a_relation_name_ar|$verb");
if ($verb != $is_a_relation_name_ar) {
continue;
}
$questionTypeConceptsArr[] = $subject;
}
//////////////////////////////////////////////
$debugArr = array();
//// Answering by similarity and relevance
foreach ($scoringTable as $documentID => $documentScoreArr) {
//preprint_r($documentScoreArr);
$relevanceReverseOrderIndex--;
$SURA = $documentScoreArr['SURA'];
$AYA = $documentScoreArr['AYA'];
$TEXT = $QURAN_TEXT[$SURA][$AYA];
$score = $documentScoreArr['SCORE'];
//echoN("SCORE BEFORE QUESTION RELEVANCE:$score");
if ($lang == "EN") {
$TEXT = strtolower($TEXT);
}
//echoN($TEXT);
$conceptsInTextArr = getConceptsFoundInText($TEXT, $lang);
//preprint_r($conceptsInTextArr);
/////////// COMMON CONCEPTS BWTEEEN QUESTION AND A VERSE TEXT
$commonQuestionVerseConceptsCount = getIntersectionCountOfTwoArrays(array_keys($conceptsInQuestionTextArr), array_keys($conceptsInTextArr));
//echoN("Common Concepts:$commonQuestionVerseConceptsCount");
$debugArr[$documentID]['COMMON_CONCEPTS'] = $commonQuestionVerseConceptsCount;
$debugArr[$documentID]['COMMON_CONCEPTS_LIST'] = join(" ", array_intersect(array_keys($conceptsInQuestionTextArr), array_keys($conceptsInTextArr)));
//preprint_r($debugArr);exit;
$score += $commonQuestionVerseConceptsCount * $COMMON_CONCEPTS_FACTOR;
///////////////////////////////////////////////////////////
//preprint_r($questionTypeConceptsArr);
//preprint_r(array_keys($conceptsInTextArr));
$numberOfSharedConceptsForThisQuestionType = getIntersectionCountOfTwoArrays($questionTypeConceptsArr, array_keys($conceptsInTextArr));
//echoN($numberOfSharedConceptsForThisQuestionType);
$score += $numberOfSharedConceptsForThisQuestionType * $COMMON_QUESTION_TYPE_CONCEPTS_FACTOR;
$debugArr[$documentID]['COMMON_QUESTION_TYPE_CONCEPTS'] = $numberOfSharedConceptsForThisQuestionType;
$debugArr[$documentID]['COMMON_QUESTION_TYPE_CONCEPTS_LIST'] = join(" ", array_intersect($questionTypeConceptsArr, array_keys($conceptsInTextArr)));
//// QUESION-VERSE SIMILARITY MESUREMENT (wITH DERIVATIONS CONSIDERED)
$wordsInVerseTextArr = explode(" ", $TEXT);
$derivationHandledB4 = array();
$commonDerivations = 0;
if ($lang == "EN") {
foreach ($taggedSignificantWords as $wordInQuestion => $pos) {
//echoN("$word $pos");
// for words like i (NOUN in the lexicon for some reson )
if (mb_strlen($wordInQuestion) <= 2) {
continue;
}
if ($pos == "VBN" || $pos == "VBD" || $pos == "VBG" || $pos == "NN" || $pos == "NNS") {
foreach ($wordsInVerseTextArr as $index => $wordInArray) {
$wordInArray = cleanAndTrim($wordInArray);
if (mb_strlen($wordInArray) <= 2) {
continue;
}
// if any word (noun/verb) in the quetion is a substring
if (strpos($wordInArray, $wordInQuestion) !== false || strpos($wordInQuestion, $wordInArray) !== false) {
if (isset($derivationHandledB4[$wordInArray])) {
continue;
}
//echoN("$word is SS in VerseText");
$commonDerivations++;
$derivationHandledB4[$wordInArray] = 1;
//$debugArr[$documentID]['COMMON_DERIVATIONS_LIST']=
//$debugArr[$documentID]['COMMON_DERIVATIONS_LIST']."|".$wordInArray;
}
}
}
}
$score += $commonDerivations * $COMMON_DERIVATIONS_FACTOR;
$debugArr[$documentID]['COMMON_DERIVATIONS'] = $commonDerivations;
} else {
$questionWordsRootsArr = array();
foreach ($taggedSignificantWords as $wordInQuestion => $pos) {
if (mb_strlen($wordInQuestion) <= 2) {
continue;
}
if ($pos == "NN" || $pos == "NNS") {
//echoN("===$wordInQuestion");
$root = getRootOfSimpleWord($wordInQuestion, array("N", "V"));
if (!empty($root)) {
$questionWordsRootsArr[] = $root;
}
}
}
//preprint_r($questionWordsRootsArr);
//exit;
$verseWordsRootsArr = array();
foreach ($wordsInVerseTextArr as $index => $wordInArray) {
if (mb_strlen($wordInArray) <= 2) {
continue;
}
$root = getRootOfSimpleWord($wordInArray, array("N", "V"));
if (!empty($root)) {
$verseWordsRootsArr[] = $root;
}
}
//preprint_r($verseWordsRootsArr);
}
$commonRootsCount = getIntersectionCountOfTwoArrays($verseWordsRootsArr, $questionWordsRootsArr);
$score += $commonRootsCount * $COMMON_ROOTS_FACTOR;
$debugArr[$documentID]['COMMON_ROOTS'] = $commonRootsCount;
//echoN($commonRootsCount);
/////////////////////////////////////////////////////////
//echoN("SCORE AFTER QUESTION RELEVANCE:$score");
$scoringTable[$documentID]['SCORE'] = $score;
$scoredAnswerVersesArr[$documentID] = $scoringTable[$documentID];
}
rsortBy($scoredAnswerVersesArr, "SCORE");
//preprint_r($debugArr);
//preprint_r($scoredAnswerVersesArr);exit;
$scoredAnswerVersesArr = array_slice($scoredAnswerVersesArr, 0, 3);
//// REMOVE ANY VERSE FROM THE FINAL LIST WHICH HAS NO OBVIOUS SIMILARITY WITH THE QUESTION
foreach ($scoredAnswerVersesArr as $documentID => $verseArr) {
//preprint_r($debugArr[$documentID]);
if ($debugArr[$documentID]['COMMON_ROOTS'] == 0 && $debugArr[$documentID]['COMMON_CONCEPTS'] == 0 && $debugArr[$documentID]['COMMON_QUESTION_TYPE_CONCEPTS'] == 0 && $debugArr[$documentID]['COMMON_DERIVATIONS'] == 0) {
unset($scoredAnswerVersesArr[$documentID]);
}
}
/////////////////////////////////////
//preprint_r($scoredAnswerVersesArr);
//preprint_r($scoredAnswerVersesArr);
return array("ANSWER_CONCEPTS" => $conceptsFromTaxRelations, "ANSWER_VERSES" => $scoredAnswerVersesArr);
}
$originalQuery = $query;
$script = $_GET['script'];
if (empty($script)) {
$script = "simple";
}
///DETEDCT LANGUAGE //LOCATION SIGNIFICANT
if (isArabicString($query)) {
$lang = "AR";
$direction = "rtl";
}
//echoN(memory_get_peak_usage());
//echoN(time());
loadModels("core,search,qac,ontology", $lang);
//echoN(time());
$RESOURCES = getModelEntryFromMemory($lang, "MODEL_CORE", "RESOURCES", "");
$META_DATA = getModelEntryFromMemory($lang, "MODEL_CORE", "META_DATA", "");
$significantWords = array();
//echoN($query);exit;
//echoN(memory_get_peak_usage());
//$TRANSLATION_MAP_EN_TO_AR = apc_fetch("WORDS_TRANSLATIONS_EN_AR");
//preprint_r($TRANSLATION_MAP_EN_TO_AR);
$isPhraseSearch = false;
$isQuestion = false;
$isColumnSearch = false;
$columnSearchType = null;
$columnSearchKeyValParams = null;
$noDerivationsConstraint = false;
$noOntologyExtentionConstraint = false;
$isConceptSearch = false;
$isTransliterationSearch = false;
$matchesCount = preg_match("/\".*?\"/", $query);
function getRootOfSimpleWord($wordSimple, $expectedPosTagsArr)
{
global $MODEL_SEARCH, $MODEL_QAC;
$wordUthmani = getItemFromUthmaniToSimpleMappingTable($wordSimple);
//echoN($MODEL_QAC['QAC_ROOTS_LOOKUP'][$wordUthmani]);
return getModelEntryFromMemory("AR", "MODEL_QAC", "QAC_ROOTS_LOOKUP", $wordUthmani);
//return $MODEL_QAC['QAC_ROOTS_LOOKUP'][$wordUthmani];
}
<?php require "./analysis.template.start.code.php"; ?> <div id='main-container'> <?php include_once "help-content.php"; ?> <?php $TOTALS = getModelEntryFromMemory($lang, "MODEL_CORE", "TOTALS", ""); $RESOURCES = getModelEntryFromMemory($lang, "MODEL_CORE", "RESOURCES", ""); ?> <div > <div id="graph-verse-or-text-selection" > <a href='javascript:openFullGraph()'>Open Full Quran Graph</a> <br/> <br/> <div style="direction:<?php echo $lang == "AR" ? "rtl" : "ltr"; ?> "> <?php
<!-- WORDCLOUD AREA -->
<div id="result-wordcloud-area">
<div id='result-wordcloud-title' <?php
echo returnDirectionStyle($lang);
?>
>
<?php
echo $RESOURCES['INDEX_WORDCLOUD_TITLE'];
?>
</div>
<div id='result-wordcloud-content'>
<?php
$wordCloudArr = searchResultsToWordcloud($searchResultsTextArr, $lang, 50);
//shuffle_assoc($wordCloudArr);
//preprint_r($wordCloudArr,1);
$STOP_WORDS = getModelEntryFromMemory($lang, "MODEL_CORE", "STOP_WORDS", "");
//$STOP_WORDS_STRICT_L2 = getModelEntryFromMemory($lang, "MODEL_CORE", "STOP_WORDS_STRICT_L2", "");
$i = 0;
foreach ($wordCloudArr as $wordLabel => $wordFreq) {
if (isset($originalQueryWordsArrSwaped[$wordLabel])) {
continue;
}
if ($lang == "AR") {
if (isset($STOP_WORDS[$wordLabel])) {
continue;
}
} else {
if (isset($STOP_WORDS[$wordLabel])) {
continue;
}
}
}
if ($lang == "EN") {
echoN("Pause Marks are supported only for Arabic, you chose English !");
exit;
}
loadModels("core", $lang);
$pauseMark = $_GET['mark'];
// nothing passed
if ($pauseMark == "") {
exit;
}
$markedVerses = array();
$unrepeatedWords = array();
$QURAN_TEXT = getModelEntryFromMemory($lang, "MODEL_CORE", "QURAN_TEXT", "");
$META_DATA = getModelEntryFromMemory($lang, "MODEL_CORE", "META_DATA", "");
$TOTALS = getModelEntryFromMemory($lang, "MODEL_CORE", "TOTALS", "");
$i = 0;
/* SURA'S LOOP **/
for ($s = 0; $s < $numberOfSuras; $s++) {
$suraSize = count($QURAN_TEXT[$s]);
/* VERSES LOOP **/
for ($a = 0; $a < $suraSize; $a++) {
$i++;
$verseText = $QURAN_TEXT[$s][$a];
if (mb_strpos($verseText, $pauseMark) !== false) {
$suraName = $META_DATA['SURAS'][$s]['name_' . strtolower($lang)];
$verseLocation = $s + 1 . ":" . ($a + 1);
// done in last preg replace
if (isset($markedVerses[$verseLocation])) {
continue;
}
$LEMMA_TO_SIMPLE_WORD_MAP = loadLemmaToSimpleMappingTable();
printHTMLPageHeader();
$wordsInfoArr = unserialize(file_get_contents("../data/cache/words.info.all"));
$stopWordsArr = file(dirname(__FILE__) . "/../data/merged-stoplist-files.2.sorted.unique.txt");
$verbsInfoArr = array();
getWordsByPos($verbsInfoArr, "V");
//preprint_r($verbsInfoArr);exit;
$verbsArr = array();
foreach ($verbsInfoArr as $word => $infoArr) {
$simpleWord = $infoArr['SIMPLE_WORD'];
$verbsArr[] = $simpleWord;
}
//preprint_r($verbsArr);exit;
//$stopWordsArr = array_merge($stopWordsArr,$verbsArr);
$stopWordsFromQuran = array();
$WORDS_FREQUENCY = getModelEntryFromMemory("AR", "MODEL_CORE", "WORDS_FREQUENCY", "");
foreach ($stopWordsArr as $key => $word) {
$word = trim($word);
if (isset($WORDS_FREQUENCY['WORDS'][$word])) {
$countOfPosTagsForThisWord = count($wordsInfoArr[$word]['POS']);
// the only PoS tag for this word is ADJ, N or Pn which can't be stop word
if (isset($wordsInfoArr[$word]['POS']['ADJ']) || isset($wordsInfoArr[$word]['POS']['N']) || isset($wordsInfoArr[$word]['POS']['PN'])) {
if ($countOfPosTagsForThisWord > 1 && isset($wordsInfoArr[$word]['POS']['DET']) || $countOfPosTagsForThisWord == 1) {
//preprint_r($wordsInfoArr[$word]['POS']);
//echoN($word);
continue;
}
}
echoN($word);
$stopWordsFromQuran[$word] = 1;
}
addRelation($relationsArr, $type, $subclassConcept, $hasType, $parentConcept, "{$pos}", "{$is_a_relation_name_en}");
}
}
echoN("TAXONOMIC RELATIONS - BIGRAM PARENT :" . (count($relationsArr) - $countOfRelationsBefore));
///////////////////////////////////////////////////////////////////
echoN("FINAL TAXONOMIC RELATIONS :" . (count($relationsArr) - $countOfRelationsFirst));
echoN("BA-A:" . count($finalConcepts));
//preprint_r($finalConcepts);exit;
file_put_contents("{$ONTOLOGY_EXTRACTION_FOLDER}/temp.final.concepts.stage3", serialize($finalConcepts));
file_put_contents("{$ONTOLOGY_EXTRACTION_FOLDER}/temp.final.relations", serialize($relationsArr));
}
if ($ENRICH_CONCEPTS_METADATA_TRANSLATION_TRANSLITERATION) {
$finalConcepts = unserialize(file_get_contents("{$ONTOLOGY_EXTRACTION_FOLDER}/temp.final.concepts.stage3"));
foreach ($finalConcepts as $concept => $coneptArr) {
$currentEnglishTranslation = $coneptArr['EXTRA']['TRANSLATION_EN'];
$uthmaniWord = getModelEntryFromMemory("AR", "OTHERS", "UTHMANI_TO_SIMPLE_WORD_MAP", $concept);
//echoN("/$concept/");
if (empty($currentEnglishTranslation)) {
$finalTranslation = null;
//echoN($uthmaniWord);
$finalTranslation = $WORDS_TRANSLATIONS_AR_EN[$uthmaniWord];
//echoN($finalTranslation);
// WORD TRANSLATION NOT FOUND - TRY AGAIN WITH DETERMINDER 'ALEF+LAM'
if (empty($finalTranslation)) {
/*
* REMOVED TRANSLATION BY NEAREST DERIVATION BECAUSE IT CHANGES THE MEANING
* زوج = kind
*
*/
/*if ( startsWithAL($concept))
{
}
</style>
</head>
<body>
<div id='main-container'>
<div id='graph-maingraph-area'>
<?php
$customFreqArr = array();
$QURAN_TEXT = getModelEntryFromMemory($lang, "MODEL_CORE", "QURAN_TEXT", "");
$suraSize = count($QURAN_TEXT[$SURA]);
for ($a = 0; $a < $suraSize; $a++) {
$verseText = $QURAN_TEXT[$SURA][$a];
$verseTextArr = explode(" ", $verseText);
foreach ($verseTextArr as $index => $word) {
$word = cleanAndTrim($word);
$word = strtolower($word);
$customFreqArr[$word]++;
}
$arrOfTextToGraph[] = $verseText;
}
$graphObj = ontologyTextToD3Graph($MODEL_QA_ONTOLOGY, "SEARCH_RESULTS_TEXT_ARRAY", $arrOfTextToGraph, 0, array(960, 600), $lang, 1);
foreach ($graphObj['nodes'] as $index => $nodeArr) {
$word = strtolower($nodeArr['word']);
if (isset($customFreqArr[$word])) {
// will be removed by label
showExcludeFor("longdesc", $longDescAR, 2, $labelAr);
}
$sIndex = 1;
if (isset($conceptToBeCleaned['synonym_' . $sIndex])) {
echoN("SYNONYM");
while (isset($conceptToBeCleaned['synonym_' . $sIndex])) {
$synonym = $conceptToBeCleaned['synonym_' . $sIndex];
if (!empty($synonym)) {
showExcludeFor("synonyms", $synonym, $sIndex);
}
$sIndex++;
}
}
echoN("RELATIONS");
$qaRelationsArr = getModelEntryFromMemory("ALL", "MODEL_QA_ONTOLOGY", "RELATIONS", "");
$relIndex = 0;
foreach ($qaRelationsArr as $hash => $relArr) {
$subject = $relArr['SUBJECT'];
$object = $relArr['OBJECT'];
$verb = $relArr['VERB'];
$relationStr = "{$subject},{$verb},{$object}";
//excluded before
if (in_array($relationStr, $excludedRelationsArr)) {
continue;
}
if ($subject != $labelAr && $object != $labelAr) {
continue;
}
$relIndex++;
$text = "{$subject},{$verb},{$object}";
function getTreeNodeChildren($MODEL_QA_ONTOLOGY, $conceptNameID, $minFreq, $lang, $level, $alreadyInLevel1)
{
global $thing_class_name_ar, $is_a_relation_name_ar;
$childrenArr = array();
if ($level++ > 5) {
return;
}
$relationsOfConceptAsSource = getModelEntryFromMemory("ALL", "MODEL_QA_ONTOLOGY", "GRAPH_INDEX_TARGETS", $conceptNameID);
//$relationsOfConceptAsSource = $MODEL_QA_ONTOLOGY['GRAPH_INDEX_TARGETS'][$conceptNameID];
foreach ($relationsOfConceptAsSource as $index => $relArr) {
$verb = $relArr["link_verb"];
$subject = $relArr["source"];
if ($verb != $is_a_relation_name_ar) {
continue;
}
//echoN("==".$subject);
$conceptArr = getModelEntryFromMemory("ALL", "MODEL_QA_ONTOLOGY", "CONCEPTS", $subject);
//$conceptArr = $MODEL_QA_ONTOLOGY['CONCEPTS'][$subject];
$conceptLabelAR = $conceptArr['label_ar'];
$conceptLabelEN = $conceptArr['label_en'];
$conceptFrequency = $conceptArr['frequency'];
$conceptWeight = $conceptArr['weight'];
$type = $conceptArr['type'];
if ($conceptFrequency < $minFreq) {
continue;
}
if ($lang == "EN") {
$conceptNameClean = convertConceptIDtoGraphLabel($conceptLabelEN);
} else {
$conceptNameClean = convertConceptIDtoGraphLabel($conceptLabelAR);
}
$children = array();
if (!isset($alreadyInLevel1[$subject])) {
$children = getTreeNodeChildren($MODEL_QA_ONTOLOGY, $subject, $minFreq, $lang, $level, $alreadyInLevel1);
}
//else
//{
// preprint_r($conceptArr);
// exit;
//}
$childrenArr[] = array("name" => $conceptNameClean, "size" => $conceptFrequency, "children" => $children);
}
return $childrenArr;
}
function loadModels($modelsToBeLoaded, $lang)
{
global $modelSources, $serializedModelFile, $quranMetaDataFile, $META_DATA, $MODEL_CORE, $MODEL_SEARCH, $MODEL_QAC, $MODEL_QURANA;
global $UTHMANI_TO_SIMPLE_WORD_MAP, $numberOfSuras, $pauseMarksFile;
global $TRANSLATION_MAP_EN_TO_AR, $TRANSLATION_MAP_AR_TO_EN, $TRANSLITERATION_WORDS_MAP, $TRANSLITERATION_VERSES_MAP;
global $wordByWordTranslationFile, $transliterationFile;
global $MODEL_WORDNET, $qaOntologyNamespace, $qaOntologyFile, $is_a_relation_name_ar, $is_a_relation_name_en;
global $thing_class_name_ar, $thing_class_name_en;
global $MODEL_QA_ONTOLOGY, $arabicStopWordsFileL2;
global $TRANSLITERATION_WORDS_LOCATION_MAP, $TRANSLITERATION_WORDS_INDEX;
//not working
gc_enable();
if (!function_exists("apc_exists")) {
throw new Exception("APC not found!");
}
//echoN("MODEL EXISTS IN CACHE?:".apc_exists("EN/MODEL_CORE/TOTALS/"));
##### CHECK MODEL IN CACHE ##### #####
if (TRUE && apc_exists("EN/MODEL_CORE/TOTALS/") !== false) {
// split list by comma
$modelListArr = preg_split("/,/", trim($modelsToBeLoaded));
/**
* TODO: CHANGE THE CODE TO REFERENCE APC MEMORY DIRECTLY INSTEAD OF LOADING DATA IN EACH SCRIPT
*/
foreach ($modelListArr as $modelName) {
//echoN("$modelName $lang ".time());
// echoN(memory_get_peak_usage());
//echoN($modelName);
if ($modelName == "ontology") {
/*$MODEL_QA_ONTOLOGY = apc_fetch("MODEL_QA_ONTOLOGY");
if ($MODEL_QA_ONTOLOGY===false )
{
echo "$MODEL_QA_ONTOLOGY NOT CACHED";exit;
}
*/
}
if ($modelName == "wordnet") {
}
if ($modelName == "core") {
//$MODEL_CORE = json_decode((file_get_contents("$serializedModelFile.core")),TRUE);
/*$MODEL_CORE = apc_fetch("MODEL_CORE[$lang]");
if ($MODEL_CORE===false )
{
echo "CORE MODEL [$lang] NOT CACHED";exit;
}*/
} else {
if ($modelName == "search") {
//$MODEL_SEARCH = json_decode((file_get_contents("$serializedModelFile.search")),TRUE);
//$MODEL_SEARCH = apc_fetch("MODEL_SEARCH[$lang]");
/*if ($MODEL_SEARCH===false )
{
echo "SEARCH MODEL [$lang] NOT CACHED";exit;
}*/
} else {
if ($modelName == "qac") {
//$MODEL_QAC = json_decode((file_get_contents("$serializedModelFile.qac")),TRUE);
/*$MODEL_QAC = apc_fetch("MODEL_QAC");
if ($MODEL_QAC===false )
{
echo "QAC MODEL NOT CACHED";exit;
}
*/
}
}
}
}
$MODEL_WORDNET['INDEX'] = apc_fetch("WORDNET_INDEX");
if ($MODEL_WORDNET['INDEX'] === false) {
echo "MODEL_WORDNET['INDEX'] NOT CACHED";
exit;
}
$MODEL_WORDNET['LEXICO_SEMANTIC_CATEGORIES'] = apc_fetch("WORDNET_LEXICO_SEMANTIC_CATEGORIES");
if ($MODEL_WORDNET['LEXICO_SEMANTIC_CATEGORIES'] === false) {
echo " MODEL MODEL_WORDNET['LEXICO_SEMANTIC_CATEGORIES'] NOT CACHED";
exit;
}
$MODEL_WORDNET['DATA'] = apc_fetch("WORDNET_DATA");
if ($MODEL_WORDNET['DATA'] === false) {
echo "MODEL MODEL_WORDNET['DATA'] NOT CACHED";
exit;
}
//else if ( ($modelName=="qurana"))
//{
//$MODEL_QURANA = json_decode((file_get_contents("$serializedModelFile.qurana")),TRUE);
$MODEL_QURANA = apc_fetch("MODEL_QURANA");
if ($MODEL_QURANA === false) {
echo "QURANA MODEL NOT CACHED";
exit;
}
//}
return;
}
########## ##### ##### ##### ##### #####
//$quran = file($quranMetaDataFile);
$quranMetaDataXMLObj = simplexml_load_file($quranMetaDataFile);
###### CONVERT META XML STRUCUTURE TO OUR STRUCTURE
foreach ($quranMetaDataXMLObj->suras as $index => $surasArr) {
foreach ($surasArr->sura as $suraMetaArr) {
$tempArr = array();
$tempArr['index'] = (string) $suraMetaArr['index'];
$tempArr['ayas'] = (string) $suraMetaArr['ayas'];
$tempArr['name_ar'] = (string) $suraMetaArr['name'];
$tempArr['name_trans'] = (string) $suraMetaArr['tname'];
$tempArr['name_en'] = (string) $suraMetaArr['ename'];
$tempArr['type'] = (string) $suraMetaArr['type'];
$tempArr['order'] = (string) $suraMetaArr['order'];
$META_DATA['SURAS'][] = $tempArr;
}
}
##############################################
/////////// LOAD ONTOLOGY
$reader = new OWLReader();
$ontology = new OWLMemoryOntology();
$thingClassName = "{$thing_class_name_ar}";
$ontology->setNamespace($qaOntologyNamespace);
$reader->readFromFile($qaOntologyFile, $ontology);
//preprint_r($ontology->{'owl_data'}['classes']);
//preprint_r($ontology->{'owl_data'}['properties']);
//preprint_r($ontology->{'owl_data'}['labels']);
//preprint_r($ontology->{'owl_data'}['annotations']);
//preprint_r($ontology->{'owl_data'}['instances']);
$classes = $ontology->{'owl_data'}['classes'];
$instances = $ontology->{'owl_data'}['instances'];
$qaOntologyConceptsArr = array();
$qaOntologyRelationsArr = array();
$relationsCount = 0;
foreach ($classes as $className => $infoArr) {
$className = stripOntologyNamespace($className);
$qaOntologyConceptsArr[$className] = array("type" => "class");
//echoN($className);
//preprint_r($infoArr);
foreach ($infoArr[0]['properties'] as $index => $propertiesArr) {
/** INCASE THIS INSTANCE HAS MULTIPLE PROPERTIES WITH SAME VERB **/
foreach ($propertiesArr as $index2 => $onePropertyArr) {
if (empty($onePropertyArr)) {
continue;
}
$verb = key($onePropertyArr);
$objectClassArr = current($onePropertyArr);
$objectConceptName = stripOntologyNamespace($objectClassArr[0]);
//echoN("CLASS:***** $className => $verb -> $objectConceptName");
$attributedArr = next($onePropertyArr);
$freq = $attributedArr['frequency'];
$engTranslation = $attributedArr['verb_translation_en'];
$verbUthmani = $attributedArr['verb_uthmani'];
$relHashID = buildRelationHashID($className, $verb, $objectConceptName);
$qaOntologyRelationsArr[$relHashID] = array("SUBJECT" => $className, "VERB" => $verb, "OBJECT" => $objectConceptName, "FREQUENCY" => $freq, "VERB_TRANSLATION_EN" => $engTranslation, "VERB_UTHMANI" => $verbUthmani);
//preprint_r($qaOntologyRelationsArr[$relHashID]);
$relationsCount++;
}
}
}
foreach ($instances as $instanceName => $intancesArr) {
foreach ($intancesArr as $index => $infoArr) {
$subjectConceptName = stripOntologyNamespace($instanceName);
$parent = stripOntologyNamespace($infoArr['class']);
//echoN("$subjectConceptName $parent");
$relHashID = buildRelationHashID($subjectConceptName, $is_a_relation_name_ar, $parent);
$qaOntologyRelationsArr[$relHashID] = array("SUBJECT" => $subjectConceptName, "VERB" => "{$is_a_relation_name_ar}", "OBJECT" => $parent, "VERB_TRANSLATION_EN" => "{$is_a_relation_name_en}");
if ($parent != $thing_class_name_ar) {
$relationsCount++;
}
$propertiesArr = $infoArr['properties'];
//echoN($instanceName);
//echoN("$instanceName:@@@");
//preprint_r($propertiesArr);
/** INCASE THIS INSTANCE HAS MULTIPLE PROPERTIES WITH SAME VERB **/
foreach ($propertiesArr as $index2 => $onePropertyArr) {
if (empty($onePropertyArr)) {
continue;
}
$verb = key($onePropertyArr);
$objectClassArr = current($onePropertyArr);
$objectConceptName = stripOntologyNamespace($objectClassArr[0]);
//echoN("***** $verb -> $objectConceptName");
$attributedArr = next($onePropertyArr);
$freq = $attributedArr['frequency'];
$engTranslation = $attributedArr['verb_translation_en'];
$verbUthmani = $attributedArr['verb_uthmani'];
$relHashID = buildRelationHashID($subjectConceptName, $verb, $objectConceptName);
$qaOntologyRelationsArr[$relHashID] = array("SUBJECT" => $subjectConceptName, "VERB" => $verb, "OBJECT" => $objectConceptName, "FREQUENCY" => $freq, "VERB_TRANSLATION_EN" => $engTranslation, "VERB_UTHMANI" => $verbUthmani);
$relationsCount++;
}
// if it is class dont make it instance even if it is a subject (subclass of another class
// BUG: animal was not apearing on ontology graph page since it was instance
if (empty($qaOntologyConceptsArr[$subjectConceptName]) || $qaOntologyConceptsArr[$subjectConceptName][type] != 'class') {
$qaOntologyConceptsArr[$subjectConceptName] = array("type" => "instance");
}
}
}
foreach ($qaOntologyConceptsArr as $conceptName => $infoArr) {
$fullConceptName = $qaOntologyNamespace . $conceptName;
$labelsArr = $ontology->{'owl_data'}['labels'][$fullConceptName];
foreach ($labelsArr as $labelLang => $label) {
/*if ( mb_strlen($label)==1)
{
echon($fullConceptName);
preprint_r($ontology->{'owl_data'}['labels'][$fullConceptName]);
}*/
$qaOntologyConceptsArr[$conceptName]['label_' . strtolower($labelLang)] = $label;
}
// "Thing" does not have annotations
if (isset($ontology->{'owl_data'}['annotations'][$fullConceptName])) {
$annotationsArr = $ontology->{'owl_data'}['annotations'][$fullConceptName];
foreach ($annotationsArr as $index => $annotArr) {
$key = $annotArr['KEY'];
$val = $annotArr['VAL'];
$qaOntologyConceptsArr[$conceptName][$key] = $val;
//echoN("[$conceptName][$key] = $val");
}
}
}
////////// OUTPUT STATS
/*echoN("INSTANCES COUNT:".count($ontology->{'owl_data'}['instances']));
echoN("CLASSES COUNT:".count($ontology->{'owl_data'}['classes']));
echoN("PROPERTIES COUNT - DECLERATIONS ONLY:".count($ontology->{'owl_data'}['properties']));;
echoN("CONCEPTS COUNT:".count($qaOntologyConceptsArr));
echoN("RELATIONS COUNT:".$relationsCount);
preprint_r($qaOntologyRelationsArr);*/
//////////////////
///////////// QUALITY CHECK CONCEPTS
$qaOntologyConceptsArr2 = array();
foreach ($qaOntologyConceptsArr as $key => $val) {
$newKey = strtr($key, "_", " ");
$qaOntologyConceptsArr2[$newKey] = $value;
}
$ONTOLOGY_EXTRACTION_FOLDER = "../data/ontology/extraction/";
$finalConcepts = unserialize(file_get_contents("{$ONTOLOGY_EXTRACTION_FOLDER}/temp.final.concepts.final"));
$diffArr = array_diff(array_keys($qaOntologyConceptsArr2), array_keys($finalConcepts));
$conceptsDiffCount = count($matchingTable);
if ($relationsDiffCount > 0) {
echoN("<b>### OWL-PROPRIETARY-CONCEPTS-DIFF-COUNT:</b>" . $conceptsDiffCount);
}
//preprint_r($diffArr);
//////////////////////////////////////////////////////////////
//////// quality check relations
$relationsArr = unserialize(file_get_contents("{$ONTOLOGY_EXTRACTION_FOLDER}/temp.final.relations"));
$matchingTable = array();
foreach ($qaOntologyRelationsArr as $index => $relArr) {
$trippleStr = $relArr['SUBJECT'] . "->" . $relArr['VERB'] . "->" . $relArr['OBJECT'];
//since Thing relations are not in the list we are comparing with
if ($relArr['OBJECT'] == $thing_class_name_ar) {
continue;
}
//echoN($trippleStr);
$trippleStr = trim($trippleStr);
$matchingTable[$trippleStr]++;
}
foreach ($relationsArr as $index => $relArr) {
$relArr['SUBJECT'] = strtr($relArr['SUBJECT'], " ", "_");
$relArr['VERB'] = strtr($relArr['VERB'], " ", "_");
$relArr['OBJECT'] = strtr($relArr['OBJECT'], " ", "_");
$trippleStr = $relArr['SUBJECT'] . "->" . $relArr['VERB'] . "->" . $relArr['OBJECT'];
$trippleStr = trim($trippleStr);
$matchingTable[$trippleStr]++;
}
function filterFunc($v)
{
return $v <= 1;
}
$matchingTable = array_filter($matchingTable, 'filterFunc');
$relationsDiffCount = count($matchingTable);
if ($relationsDiffCount > 0) {
echoN("<b>### OWL-PROPRIETARY-RELATIONS-DIFF-COUNT:</b>" . $relationsDiffCount);
preprint_r($matchingTable);
}
//////////////////////////////////////////////
//echoN( join("<br>",array_keys($qaOntologyConceptsArr)));
$qaOntologyVerbIndex = array();
$qaOntologyGraphSourcesIndex = array();
$qaOntologyGraphTargetsIndex = array();
//preprint_r($qaOntologyRelationsArr);
//exit;
foreach ($qaOntologyRelationsArr as $index => $relArr) {
$subject = $relArr['SUBJECT'];
$verb = $relArr['VERB'];
$verb_translation_en = $relArr['VERB_TRANSLATION_EN'];
$object = $relArr['OBJECT'];
//$qaOntologyVerbIndex[$verb][]=array("SUBJECT"=>$subject,"OBJECT"=>$object);
//$qaOntologyVerbIndex[$verb_translation_en][]=array("SUBJECT"=>$subject,"OBJECT"=>$object);
addValueToMemoryModel("ALL", "MODEL_QA_ONTOLOGY", "VERB_INDEX", $verb, array("SUBJECT" => $subject, "OBJECT" => $object));
addValueToMemoryModel("ALL", "MODEL_QA_ONTOLOGY", "VERB_INDEX", $verb_translation_en, array("SUBJECT" => $subject, "OBJECT" => $object));
//$qaOntologyGraphSourcesIndex[$subject][]=array("link_verb"=>$verb,"target"=>$object,"relation_index"=>$index);
//$qaOntologyGraphTargetsIndex[$object][]=array("source"=>$subject,"link_verb"=>$verb,"relation_index"=>$index);
addToMemoryModelList("ALL", "MODEL_QA_ONTOLOGY", "GRAPH_INDEX_SOURCES", $subject, array("link_verb" => $verb, "target" => $object, "relation_index" => $index));
addToMemoryModelList("ALL", "MODEL_QA_ONTOLOGY", "GRAPH_INDEX_TARGETS", $object, array("source" => $subject, "link_verb" => $verb, "relation_index" => $index));
}
$qaOntologyConceptsENtoARMapArr = array();
foreach ($qaOntologyConceptsArr as $arName => $conceptArr) {
$enLabel = trim(strtolower($conceptArr['label_en']));
//$qaOntologyConceptsENtoARMapArr[$enLabel]=$arName;
//$qaOntologyConceptsENtoARMapArr[$enLabel]=$arName;
addValueToMemoryModel("ALL", "MODEL_QA_ONTOLOGY", "CONCEPTS_EN_AR_NAME_MAP", $enLabel, $arName);
}
$qaSynonymsIndex = array();
foreach ($qaOntologyConceptsArr as $arName => $conceptArr) {
addValueToMemoryModel("ALL", "MODEL_QA_ONTOLOGY", "CONCEPTS", $arName, $conceptArr);
$i = 1;
while (isset($conceptArr['synonym_' . $i])) {
if (empty($conceptArr['synonym_' . $i])) {
$i++;
continue;
}
$synonymLabel = trim(strtolower($conceptArr['synonym_' . $i]));
$qaSynonymsIndex[$synonymLabel] = $arName;
addValueToMemoryModel("ALL", "MODEL_QA_ONTOLOGY", "SYNONYMS_INDEX", $synonymLabel, $arName);
$i++;
}
}
//preprint_r($qaOntologyConceptsArr);exit;
//$MODEL_QA_ONTOLOGY['CONCEPTS'] = $qaOntologyConceptsArr;
//$MODEL_QA_ONTOLOGY['RELATIONS'] = $qaOntologyRelationsArr;
addValueToMemoryModel("ALL", "MODEL_QA_ONTOLOGY", "RELATIONS", "", $qaOntologyRelationsArr);
//$MODEL_QA_ONTOLOGY['GRAPH_INDEX_SOURCES'] = $qaOntologyGraphSourcesIndex;
//$MODEL_QA_ONTOLOGY['GRAPH_INDEX_TARGETS'] = $qaOntologyGraphTargetsIndex;
//$MODEL_QA_ONTOLOGY['CONCEPTS_EN_AR_NAME_MAP'] = $qaOntologyConceptsENtoARMapArr;
//$MODEL_QA_ONTOLOGY['VERB_INDEX'] = $qaOntologyVerbIndex;
//$MODEL_QA_ONTOLOGY['SYNONYMS_INDEX'] = $qaSynonymsIndex;
//$res = apc_store("MODEL_QA_ONTOLOGY",$MODEL_QA_ONTOLOGY);
//if ( $res===false){ throw new Exception("Can't cache MODEL_QA_ONTOLOGY"); }
//preprint_r($MODEL_QA_ONTOLOGY);exit;
//////// END ONTOLOGY LOADING
////////////////////////////
/// WORDNET
loadWordnet($MODEL_WORDNET);
/////////////
//free resources
$quranMetaDataXMLObj = null;
unset($quranMetaDataXMLObj);
foreach ($modelSources as $supportedLang => $modelSourceArr) {
$type = $modelSourceArr['type'];
$file = $modelSourceArr['file'];
//echoN("$lang $type $file");
loadModel($supportedLang, $type, $file);
//not working
$gced = gc_collect_cycles();
//echoN($gced);
}
//echoN(json_encode($MODEL));
############ Uthmani/Simple mapping table #################
############ AND WORD-WORD TRANSLATION AND TRANSLITERATION #################
$pauseMarksArr = getPauseMarksArrByFile($pauseMarksFile);
$wordByWordFileArr = file($wordByWordTranslationFile, FILE_SKIP_EMPTY_LINES | FILE_IGNORE_NEW_LINES);
$translitertationArr = file($transliterationFile, FILE_SKIP_EMPTY_LINES | FILE_IGNORE_NEW_LINES);
$WORD_SENSES_EN = array();
$WORD_SENSES_AR = array();
$quranTextEntryFromAPC_AR = getModelEntryFromMemory("AR", "MODEL_CORE", "QURAN_TEXT", "");
$quranTextEntryFromAPC_UTH = getModelEntryFromMemory("AR_UTH", "MODEL_CORE", "QURAN_TEXT", "");
/* SURA'S LOOP **/
for ($s = 0; $s < $numberOfSuras; $s++) {
$suraSize = count($quranTextEntryFromAPC_AR[$s]);
/* VERSES LOOP **/
for ($a = 0; $a < $suraSize; $a++) {
$i++;
$verseTextSimple = $quranTextEntryFromAPC_AR[$s][$a];
$simpleWordsArr = preg_split("/ /", $verseTextSimple);
$verseTextUthmani = $quranTextEntryFromAPC_UTH[$s][$a];
$uthmaniWordsArr = preg_split("/ /", $verseTextUthmani);
$simpleWordsArr = removePauseMarksFromArr($pauseMarksArr, $simpleWordsArr);
$uthmaniWordsArr = removePauseMarksFromArr($pauseMarksArr, $uthmaniWordsArr);
$verseLocation = $s + 1 . ":" . ($a + 1);
$UTHMANI_TO_SIMPLE_LOCATION_MAP[$verseLocation] = array();
///////// Transliteration /////////////
$transliterationLine = current($translitertationArr);
next($translitertationArr);
$lineParts = preg_split("/\\|/", $transliterationLine);
$verseTransliteration = $lineParts[2];
//echoN($transliterationLine);
$TRANSLITERATION_VERSES_MAP[$verseLocation] = $verseTransliteration;
$wordsTransliterationArr = preg_split("/ /", $verseTransliteration);
// preprint_r($wordsTransliterationArr);exit;
/////////////////////////////////////////////////
$wtwIndex = 0;
foreach ($uthmaniWordsArr as $index => $wordUthmani) {
$qacMasterID = $s + 1 . ":" . ($a + 1) . ":" . ($index + 1);
$qacMasterTableEntry = getModelEntryFromMemory("AR", "MODEL_QAC", "QAC_MASTERTABLE", $qacMasterID);
$lemma = $qacMasterTableEntry[0]['FEATURES']['LEM'];
// to handle multi segment words such as الدنيا
if (empty($lemma)) {
$lemma = $qacMasterTableEntry[1]['FEATURES']['LEM'];
}
//echoN("|$lemma|$wordUthmani");
//$wtwIndex (INDEX_IN_AYA_EMLA2Y) needs to be 1 based ( UTHMANI=IMLA2Y )
$UTHMANI_TO_SIMPLE_LOCATION_MAP[$s + 1 . ":" . ($a + 1)][$index + 1] = $wtwIndex + 1;
$wordSimple = $simpleWordsArr[$wtwIndex++];
//$UTHMANI_TO_SIMPLE_LOCATION_MAP[($s+1).":".($a+1)][($index+1)."-".$wordUthmani]=($wtwIndex)."-".$wordSimple;
/* for ayas which are different in size, do the following
* if the current word is ويا or ها or يا
* then join it with the next word and make them one word
*/
if (count($uthmaniWordsArr) != count($simpleWordsArr) && ($wordSimple == "يا" || $wordSimple == "ها" || $wordSimple == "ويا" || $wordUthmani == "وَأَلَّوِ")) {
if ($wordUthmani == "يَبْنَؤُمَّ") {
// example 0 => 1
$UTHMANI_TO_SIMPLE_LOCATION_MAP[$s + 1 . ":" . ($a + 1)][$index + 1] = $wtwIndex + 1;
//[($index+1)."-".$wordUthmani]=($wtwIndex+1)."-".$wordSimple;
$wordSimple = $wordSimple . " " . $simpleWordsArr[$wtwIndex++] . " " . $simpleWordsArr[$wtwIndex++];
} else {
// example 0 => 1
$UTHMANI_TO_SIMPLE_LOCATION_MAP[$s + 1 . ":" . ($a + 1)][$index + 1] = $wtwIndex + 1;
//[($index+1)."-".$wordUthmani]=($wtwIndex+1)."-".$wordSimple;
$wordSimple = $wordSimple . " " . $simpleWordsArr[$wtwIndex++];
}
//echoN("$wordUthmani:$wordSimple");
}
// printHTMLPageHeader();
// echoN("$wordSimple|$wordUthmani");
///////// english translation ////////
$wordByWordTranslationLine = current($wordByWordFileArr);
next($wordByWordFileArr);
$linePartsArr = preg_split("/\\|/", $wordByWordTranslationLine);
$englishTranslationForCurrentWord = $linePartsArr[5];
/////////////////////////////////////////////////
$WORD_SENSES_EN[$englishTranslationForCurrentWord][$wordUthmani]++;
$WORD_SENSES_AR[$wordUthmani][$englishTranslationForCurrentWord]++;
$TRANSLATION_MAP_EN_TO_AR[$englishTranslationForCurrentWord] = $wordUthmani;
$TRANSLATION_MAP_AR_TO_EN[$wordUthmani] = $englishTranslationForCurrentWord;
$TRANSLITERATION_WORDS_MAP[$wordUthmani] = $wordsTransliterationArr[$index];
$clenaedTranliteration = cleanTransliteratedText($wordsTransliterationArr[$index]);
$TRANSLITERATION_WORDS_INDEX[$clenaedTranliteration] = 1;
$TRANSLITERATION_WORDS_LOCATION_MAP["{$s}:{$a}:{$index}"] = $wordsTransliterationArr[$index];
//preprint_r($TRANSLITERATION_WORDS_LOCATION_MAP);
// preprint_r($TRANSLATION_MAP_AR_TO_EN);
// preprint_r($TRANSLITERATION_WORDS_MAP);
$UTHMANI_TO_SIMPLE_WORD_MAP[$wordUthmani] = $wordSimple;
addValueToMemoryModel("AR", "OTHERS", "UTHMANI_TO_SIMPLE_WORD_MAP", $wordUthmani, $wordSimple);
$UTHMANI_TO_SIMPLE_WORD_MAP[$wordSimple] = $wordUthmani;
addValueToMemoryModel("AR", "OTHERS", "UTHMANI_TO_SIMPLE_WORD_MAP", $wordSimple, $wordUthmani);
if (!empty($lemma)) {
if (!isset($LEMMA_TO_SIMPLE_WORD_MAP[$lemma])) {
$LEMMA_TO_SIMPLE_WORD_MAP[$lemma] = $wordSimple;
} else {
$oldSimple = $LEMMA_TO_SIMPLE_WORD_MAP[$lemma];
if (myLevensteinEditDistance($oldSimple, $lemma) > myLevensteinEditDistance($wordSimple, $lemma)) {
$LEMMA_TO_SIMPLE_WORD_MAP[$lemma] = $wordSimple;
}
}
}
}
}
}
/////// ADD UTHMANI TO SIMPLE LOCATION MAP TO MEMORY
foreach ($UTHMANI_TO_SIMPLE_LOCATION_MAP as $verseLocation => $verseMappingArr) {
/*foreach($mappingArr as $uhtmaniIndex=>$imal2yIndex)
{
}*/
addValueToMemoryModel("AR", "OTHERS", "UTHMANI_TO_SIMPLE_LOCATION_MAP", $verseLocation, $verseMappingArr);
}
///////////////////////////////////////////////////////
//preprint_r($TRANSLATION_MAP_EN_TO_AR);exit;
//preprint_r($WORD_SENSES_AR);exit;
// CAN'T BE ADDED IN THE CORE_MODEL since the mapping happens after loadModel
//$res = apc_store("UTHMANI_TO_SIMPLE_WORD_MAP",$UTHMANI_TO_SIMPLE_WORD_MAP);
//if ( $res===false){ throw new Exception("Can't cache UTHMANI_TO_SIMPLE_WORD_MAP"); }
//$res = apc_store("UTHMANI_TO_SIMPLE_LOCATION_MAP",$UTHMANI_TO_SIMPLE_LOCATION_MAP);
//if ( $res===false){ throw new Exception("Can't cache UTHMANI_TO_SIMPLE_LOCATION_MAP"); }
$res = apc_store("LEMMA_TO_SIMPLE_WORD_MAP", $LEMMA_TO_SIMPLE_WORD_MAP);
if ($res === false) {
throw new Exception("Can't cache LEMMA_TO_SIMPLE_WORD_MAP");
}
$res = apc_store("WORDS_TRANSLATIONS_EN_AR", $TRANSLATION_MAP_EN_TO_AR);
if ($res === false) {
throw new Exception("Can't cache WORDS_TRANSLATIONS_EN_AR");
}
$res = apc_store("WORDS_TRANSLATIONS_AR_EN", $TRANSLATION_MAP_AR_TO_EN);
if ($res === false) {
throw new Exception("Can't cache WORDS_TRANSLATIONS_AR_EN");
}
$res = apc_store("WORDS_TRANSLITERATION", $TRANSLITERATION_WORDS_MAP);
if ($res === false) {
throw new Exception("Can't cache WORDS_TRANSLITERATION");
}
$res = apc_store("TRANSLITERATION_WORDS_LOCATION_MAP", $TRANSLITERATION_WORDS_LOCATION_MAP);
if ($res === false) {
throw new Exception("Can't cache TRANSLITERATION_WORDS_LOCATION_MAP");
}
$res = apc_store("TRANSLITERATION_VERSES_MAP", $TRANSLITERATION_VERSES_MAP);
if ($res === false) {
throw new Exception("Can't cache TRANSLITERATION_VERSES_MAP");
}
$res = apc_store("TRANSLITERATION_WORDS_INDEX", $TRANSLITERATION_WORDS_INDEX);
if ($res === false) {
throw new Exception("Can't cache TRANSLITERATION_WORDS_INDEX");
}
$res = apc_store("WORD_SENSES_EN", $WORD_SENSES_EN);
if ($res === false) {
throw new Exception("Can't cache WORD_SENSES_EN");
}
$res = apc_store("WORD_SENSES_AR", $WORD_SENSES_AR);
if ($res === false) {
throw new Exception("Can't cache {$WORD_SENSES_AR}");
}
//// ENRICH INVERTED INDEX BY UTHMANI-EMLA2Y INDEXES
//echoN(count($MODEL_SEARCH['AR']['INVERTED_INDEX']));
foreach (getAPCIterator("AR\\/MODEL_SEARCH\\/INVERTED_INDEX\\/.*") as $invertedIndexCursor) {
$wordDataArr = $invertedIndexCursor['value'];
$key = $invertedIndexCursor['key'];
$word = getEntryKeyFromAPCKey($key);
foreach ($wordDataArr as $index => $documentArrInIndex) {
$WORD_TYPE = $documentArrInIndex['WORD_TYPE'];
$SURA = $documentArrInIndex['SURA'];
$AYA = $documentArrInIndex['AYA'];
//echoN($word." ".$WORD_TYPE);
if ($WORD_TYPE == "NORMAL_WORD") {
$INDEX_IN_AYA_EMLA2Y = $documentArrInIndex['INDEX_IN_AYA_EMLA2Y'];
foreach ($UTHMANI_TO_SIMPLE_LOCATION_MAP[$SURA + 1 . ":" . ($AYA + 1)] as $uhtmaniIndex => $imal2yIndex) {
if ($imal2yIndex == $INDEX_IN_AYA_EMLA2Y) {
$INDEX_IN_AYA_UTHMANI = $uhtmaniIndex;
break;
}
}
//echoN($INDEX_IN_AYA_UTHMANI);
$wordDataArr[$index]['INDEX_IN_AYA_UTHMANI'] = $INDEX_IN_AYA_UTHMANI;
} else {
// needed for highlighting pronoun charcters in search
$INDEX_IN_AYA_UTHMANI = $documentArrInIndex['INDEX_IN_AYA_UTHMANI'];
$INDEX_IN_AYA_EMLA2Y = getSimpleWordIndexByUthmaniWordIndex($SURA + 1 . ":" . ($AYA + 1), $INDEX_IN_AYA_UTHMANI);
$wordDataArr[$index]['INDEX_IN_AYA_EMLA2Y'] = $INDEX_IN_AYA_EMLA2Y;
}
}
//UPDATE
updateModelData($key, $wordDataArr);
}
//$res = apc_store("MODEL_SEARCH[AR]",$MODEL_SEARCH['AR']);
//if ( $res===false){ throw new Exception("Can't cache MODEL_SEARCH[AR]"); }
//preprint_r($TRANSLITERATION_WORDS_LOCATION_MAP);
/// ADD TRANSLITERATION TO INVERETD INDEX WWITH ENGLISH WORDS
if ($lang == "EN") {
$invertedIndexBatchApcArr = array();
foreach ($TRANSLITERATION_WORDS_LOCATION_MAP as $location => $transliteratedWord) {
$locationArr = explode(":", $location);
$s = $locationArr[0];
$a = $locationArr[1];
$wordIndex = $locationArr[2];
//echoN("$transliteratedWord,$s,$a,$wordIndex");
$transliteratedWord = strtolower(strip_tags($transliteratedWord));
//$MODEL_SEARCH['EN']['INVERTED_INDEX'][$word]
addToInvertedIndex($invertedIndexBatchApcArr, $lang, $transliteratedWord, $s, $a, $wordIndex, "NORMAL_WORD");
}
addToMemoryModelBatch($invertedIndexBatchApcArr);
//$res = apc_store("MODEL_SEARCH[EN]",$MODEL_SEARCH['EN']);
}
//if ( $res===false){ throw new Exception("Can't cache MODEL_SEARCH[EN]"); }
/////////////////////////////////////////////////////////
//preprint_r($UTHMANI_TO_SIMPLE_WORD_MAP);
//preprint_r($MODEL_CORE["AR_UTH"]['QURAN_TEXT']);exit;
##############################################################
// get memory usage
$debug = memory_get_usage(true) / 1024 / 1024 . "/" . memory_get_peak_usage(true) / 1024 / 1024 . "Memory <br>";
//echoN($debug);
//needed to be set here after both languages has been loaded
// reload all models from memory to set all variables (WORDNET) - after model generation
/* needed to reload all generated models from memory specialy model_core since
* it has 3 languages, if this line is removed: all 3 langauges are loaded although only one language
* is requested, also it caused a bug in getPoSTaggedSubsentences
*/
//loadModels($modelsToBeLoaded,$lang);
}
function printResultVerses($scoringTable, $lang, $direction, $query, $isPhraseSearch, $isQuestion, $script, $significantCollocationWords = null, $isTransliterationSearch = false)
{
global $script, $TRANSLITERATION_VERSES_MAP;
$QURAN_TEXT = getModelEntryFromMemory($lang, "MODEL_CORE", "QURAN_TEXT", "");
$QURAN_TEXT_UTH = getModelEntryFromMemory("AR_UTH", "MODEL_CORE", "QURAN_TEXT", "");
$META_DATA = getModelEntryFromMemory($lang, "MODEL_CORE", "META_DATA", "");
$TOTALS = getModelEntryFromMemory($lang, "MODEL_CORE", "TOTALS", "");
if ($lang == "EN") {
if ($script == "simple") {
$QURAN_TEXT_OTHER_LANG = getModelEntryFromMemory("AR", "MODEL_CORE", "QURAN_TEXT", "");
} else {
$QURAN_TEXT_OTHER_LANG = $QURAN_TEXT_UTH;
}
} else {
$QURAN_TEXT_OTHER_LANG = getModelEntryFromMemory("EN", "MODEL_CORE", "QURAN_TEXT", "");
}
//preprint_r($scoringTable);exit;
$searchResultsTextArr = array();
//preprint_r($scoringTable);exit;
$relevanceReverseOrderIndex = count($documentScoreArr);
foreach ($scoringTable as $documentID => $documentScoreArr) {
//preprint_r($documentScoreArr);
$relevanceReverseOrderIndex--;
$SURA = $documentScoreArr['SURA'];
$AYA = $documentScoreArr['AYA'];
$TEXT = $QURAN_TEXT[$SURA][$AYA];
$TEXT_UTH = $QURAN_TEXT_UTH[$SURA][$AYA];
$TEXT_TRANSLITERATED = cleanTransliteratedText($TRANSLITERATION_VERSES_MAP[$SURA + 1 . ":" . ($AYA + 1)]);
$WORD_TYPE = $documentScoreArr['WORD_TYPE'];
$EXTRA_INFO = $documentScoreArr['EXTRA_INFO'];
$INDEX_IN_AYA_EMLA2Y = $documentScoreArr['INDEX_IN_AYA_EMLA2Y'];
$WORDS_IN_AYA = $documentScoreArr['POSSIBLE_HIGHLIGHTABLE_WORDS'];
$PRONOUNS = $documentScoreArr['PRONOUNS'];
$score = $documentScoreArr['SCORE'];
$searchResultsTextArr[] = $TEXT;
$TEXT_TRANSLATED = $QURAN_TEXT_OTHER_LANG[$SURA][$AYA];
$SURA_NAME = $META_DATA['SURAS'][$SURA]['name_' . strtolower($lang)];
$SURA_NAME_LATIN = $META_DATA['SURAS'][$SURA]['name_trans'];
// وكذلك جلناكم امة وسطا 143/256
$TOTAL_VERSES_OF_SURA = $TOTALS['TOTAL_PER_SURA'][$SURA]['VERSES'];
//preprint_r($MODEL['QURAN_TEXT']);
$MATCH_TYPE = "";
if ($WORD_TYPE == "PRONOUN_ANTECEDENT") {
$MATCH_TYPE = "ضمير";
if ($lang == "EN") {
$MATCH_TYPE = "pronoun";
}
} else {
if ($WORD_TYPE == "ROOT" || $WORD_TYPE == "LEM") {
$MATCH_TYPE = "تصريف / إشتقاق";
}
}
// empty in case of only pronouns
if (!empty($WORDS_IN_AYA)) {
if ($isPhraseSearch) {
// mark all POSSIBLE_HIGHLIGHTABLE_WORDS
$TEXT = preg_replace("/(" . $query . ")/mui", "<marked>\\1</marked>", $TEXT);
} else {
// mark all POSSIBLE_HIGHLIGHTABLE_WORDS
$TEXT = preg_replace("/(" . join("|", array_keys($WORDS_IN_AYA)) . ")/mui", "<marked>\\1</marked>", $TEXT);
if ($isTransliterationSearch) {
$TEXT_TRANSLITERATED = preg_replace("/(" . join("|", array_keys($WORDS_IN_AYA)) . ")/mui", "<marked>\\1</marked>", $TEXT_TRANSLITERATED);
}
}
}
//preprint_r($PRONOUNS);
// mark PRONOUNS
//if ( $WORD_TYPE=="PRONOUN_ANTECEDENT") {} // COMMENTED SINCE WORD MAY HAVE BOTH PRON AND NORMAKL WORDS
foreach ($PRONOUNS as $pronounText => $PRONOUN_INDEX_IN_AYA_EMLA2Y) {
$pronounText = removeTashkeel($pronounText);
$TEXT = markSpecificWordInText($TEXT, $PRONOUN_INDEX_IN_AYA_EMLA2Y - 1, $pronounText, "marked");
//$TEXT = preg_replace("/(".$EXTRA_INFO.")/mui", "<marked>\\1</marked>", $TEXT);
//echoN("|".$TEXT);
}
if ($isQuestion) {
//preprint_r($significantCollocationWords);
foreach ($significantCollocationWords as $word => $freq) {
$TEXT = markWordWithoutWordIndex($TEXT, $word, "marked_prospect_answer");
//$TEXT = preg_replace("/(".$EXTRA_INFO.")/mui", "<marked>\\1</marked>", $TEXT);
//echoN("|".$TEXT);
}
}
$documentID = preg_replace("/\\:/", "-", $documentID);
//preprint_r($documentScoreArr);
?>
<div class='result-aya-container' order='<?php
echo $SURA + 1;
?>
' relevance='<?php
echo $relevanceReverseOrderIndex;
?>
' >
<div class='result-aya' style="direction:<?php
echo $direction;
?>
" id="<?php
echo $documentID;
?>
" >
<?php
if ($script == "uthmani" && $lang == "AR") {
echo $TEXT_UTH;
} else {
echo $TEXT;
if ($isTransliterationSearch) {
echo "<hr class='transliteration-separator'/>";
echo "<div class='transliteration-verse-text-area'>{$TEXT_TRANSLITERATED}</div>";
}
}
?>
<div id="<?php
echo $documentID;
?>
-translation" class='result-translated-text' style="direction:<?php
echo $lang == "AR" ? "ltr" : "rtl";
?>
" >
<?php
echo $TEXT_TRANSLATED;
?>
</div>
</div>
<div class='result-aya-info' >
<span class='result-sura-info' style="direction:<?php
echo $direction;
?>
">
<?php
echo $SURA_NAME;
?>
<?php
if ($lang == "EN") {
echo " ({$SURA_NAME_LATIN})";
}
?>
[<?php
echo $SURA + 1 . ":" . ($AYA + 1);
?>
]
<?php
php;
?>
</span>
<span class='result-aya-showtranslation' >
<?php
$showTransText = "Show Translation";
if ($lang == "EN") {
$showTransText = "Show Arabic";
}
?>
<a href="javascript:showTranslationFor('<?php
echo $documentID;
?>
')"><?php
echo $showTransText;
?>
</a>
</span>
<span class='result-more-about-aya'>
<a target='_new' href='http://quran.com/<?php
echo $SURA + 1 . "/" . ($AYA + 1);
?>
'>
More
</a>
</span>
<span class='result-match-type'>
<?php
echo $MATCH_TYPE;
?>
</span>
</div>
</div>
<?php
}
return $searchResultsTextArr;
}
//$qacMasterTableEntryArr2 = getModelEntryFromMemory("AR","MODEL_QAC","QAC_POS",$qacLocation);
$qacPoSTagsIterator = getAPCIterator("AR\\/MODEL_QAC\\/QAC_POS\\/.*");
$QURAN_TEXT = getModelEntryFromMemory("AR", "MODEL_CORE", "QURAN_TEXT", "");
$TOTALS = getModelEntryFromMemory("AR", "MODEL_CORE", "TOTALS", "");
$PAUSEMARKS = $TOTALS['PAUSEMARKS'];
preprint_r($PAUSEMARKS);
foreach ($qacPoSTagsIterator as $qacPoSTagsIteratorCursor) {
$POS_ARR = $qacPoSTagsIteratorCursor['value'];
$key = $qacPoSTagsIteratorCursor['key'];
$POS = getEntryKeyFromAPCKey($key);
if ($POS == "N" || $POS == "PN" || $POS == "ADJ") {
continue;
}
//echoN("|$POS|");
foreach ($POS_ARR as $location => $segmentId) {
$qacMasterTableEntry = getModelEntryFromMemory("AR", "MODEL_QAC", "QAC_MASTERTABLE", $location);
// get Word, Lema and root
$segmentWord = $qacMasterTableEntry[$segmentId - 1]['FORM_AR'];
$segmentWordLema = $qacMasterTableEntry[$segmentId - 1]['FEATURES']['LEM'];
$segmentWordRoot = $qacMasterTableEntry[$segmentId - 1]['FEATURES']['ROOT'];
$verseLocation = substr($location, 0, strlen($location) - 2);
//$segmentWord = removeTashkeel($segmentWord);
if ($POS == "DET") {
// second segment PoS
$segmentPoStag = $qacMasterTableEntry[$segmentId]['TAG'];
//number of segments
$numberOfSegmentsInWord = count($qacMasterTableEntry);
if (($segmentPoStag == "N" || $segmentPoStag == "ADJ") && $numberOfSegmentsInWord == 2) {
continue;
}
}
function getConceptsFoundInText($text, $lang)
{
global $thing_class_name_ar, $is_a_relation_name_ar;
$conceptsInTextArr = array();
$textWordsArr = preg_split("/ /", $text);
foreach ($textWordsArr as $index => $word) {
if ($lang == "EN") {
$word = cleanAndTrim($word);
$word = strtolower($word);
// translate English name to arabic concept name/id
//$wordConveretedToConceptID = $MODEL_QA_ONTOLOGY['CONCEPTS_EN_AR_NAME_MAP'][$word];
$wordConveretedToConceptID = getModelEntryFromMemory("ALL", "MODEL_QA_ONTOLOGY", "CONCEPTS_EN_AR_NAME_MAP", $word);
} else {
$wordConveretedToConceptID = convertWordToConceptID($word);
}
//echoN($wordConveretedToConceptID);
if (modelEntryExistsInMemory("ALL", "MODEL_QA_ONTOLOGY", "CONCEPTS", $wordConveretedToConceptID)) {
//preprint_r($MODEL_QA_ONTOLOGY['CONCEPTS'][$wordConveretedToConceptID]);exit;
//echoN($wordConveretedToConceptID);
//$mainConceptArr = $MODEL_QA_ONTOLOGY['CONCEPTS'][$wordConveretedToConceptID];
$mainConceptArr = getModelEntryFromMemory("ALL", "MODEL_QA_ONTOLOGY", "CONCEPTS", $wordConveretedToConceptID);
$conceptLabelAR = $mainConceptArr['label_ar'];
$conceptLabelEN = $mainConceptArr['label_en'];
$conceptFrequency = $mainConceptArr['frequency'];
$conceptWeight = $mainConceptArr['weight'];
$finalNodeLabel = $conceptLabelAR;
if ($lang == "EN") {
$finalNodeLabel = $conceptLabelEN;
}
if ($wordConveretedToConceptID == $thing_class_name_ar) {
continue;
}
$conceptsInTextArr[$wordConveretedToConceptID] = createNewConceptObj($nodeSerialNumber, $lang, $finalNodeLabel, $mainConceptArr, $randomXLocation, $randomYLocation, 1);
}
}
return $conceptsInTextArr;
}
function getLexiconItemFromMemory($token)
{
$token = strtolower($token);
$entry = getModelEntryFromMemory("EN", "PHPIR_LEXICON", "POS_ENTRY", $token);
return $entry[0];
}
addChildrenToCluster($clusteredArr, $treeRootNodeObj, $clusterSerialNumber, $nodeSerialNumber, 1, $handledBefore);
//preprint_r($handledBefore);
//preprint_r($clusteredArr);exit;
//$graphNodesJSON = json_encode($graphObj['nodes']);
//$graphLinksJSON = json_encode($graphObj['links']);
//echoN($treeRootNodeJSON);
//echoN($graphNodesJSON);
//echoN($graphLinksJSON);
//exit;
$qaRelationsArr = getModelEntryFromMemory("ALL", "MODEL_QA_ONTOLOGY", "RELATIONS", "");
$filteredClusteredArr = array();
$index = 0;
foreach ($clusteredArr as $index => $clusterArrItem) {
$conceptName = strtolower(convertConceptIDtoGraphLabel($clusterArrItem['word']));
//$conceptNameAR = $MODEL_QA_ONTOLOGY['CONCEPTS_EN_AR_NAME_MAP'][$conceptName];
$conceptNameAR = getModelEntryFromMemory("ALL", "MODEL_QA_ONTOLOGY", "CONCEPTS_EN_AR_NAME_MAP", $conceptName);
// if not in index (then not qurana or word in quran)
// and does not have subclasses // then ignore
if (!wordOrPhraseIsInIndex($lang, $conceptName) && !conceptHasSubclasses($qaRelationsArr, $conceptNameAR)) {
//echoN($conceptName);
continue;
}
$index++;
$filteredClusteredArr[] = $clusterArrItem;
}
//preprint_r($clusteredArr);
//echoN(count($clusteredArr));
$clusteredArrJSON = json_encode($filteredClusteredArr);
?>