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 $conceptsInTextArr;
}
function ontologyTextToD3Graph($MODEL_QA_ONTOLOGY, $inputType, $searchResultTextArr, $minFreq = 0, $widthHeigthArr, $lang, $mainConceptsOnly = false, $isPhraseSearch = false, $isQuestion = false, $query = "")
{
global $thing_class_name_ar, $is_a_relation_name_ar;
$graphObj = array();
$graphNodes = array();
$graphLinks = array();
////// calculate start points
$width = $widthHeigthArr[0];
$height = $widthHeigthArr[1];
$startLocationXMin = $width / 2 - 100;
$startLocationXMax = $width / 2 + 100;
$startLocationYMin = $height / 2 - 100;
$startLocationYMax = $height / 2 + 100;
////////////////////////////
/** SHOULD BE ZERO BASED FOR D3 TO WORK - o.target.weight = NULL**/
$nodeSerialNumber = 0;
$lastWord = null;
foreach ($searchResultTextArr as $index => $text) {
if ($inputType == "SEARCH_RESULTS_TEXT_ARRAY") {
$textWordsArr = preg_split("/ /", $text);
} else {
if (!$isPhraseSearch) {
// extendedQueryParam
$textWordsArr = array_keys($searchResultTextArr);
} else {
// phrase should be checked as is
$textWordsArr[0] = $query;
}
}
foreach ($textWordsArr as $word) {
if ($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);
}
if (modelEntryExistsInMemory("ALL", "MODEL_QA_ONTOLOGY", "CONCEPTS", $wordConveretedToConceptID)) {
//preprint_r($MODEL_QA_ONTOLOGY['CONCEPTS'][$wordConveretedToConceptID]);exit;
//echoN($wordConveretedToConceptID);
$mainConceptArr = getModelEntryFromMemory("ALL", "MODEL_QA_ONTOLOGY", "CONCEPTS", $wordConveretedToConceptID);
//$mainConceptArr = $MODEL_QA_ONTOLOGY['CONCEPTS'][$wordConveretedToConceptID];
$conceptLabelAR = $mainConceptArr['label_ar'];
$conceptLabelEN = $mainConceptArr['label_en'];
$conceptFrequency = $mainConceptArr['frequency'];
$conceptWeight = $mainConceptArr['weight'];
$finalNodeLabel = $conceptLabelAR;
if ($lang == "EN") {
$finalNodeLabel = $conceptLabelEN;
}
/*if ( empty($finalNodeLabel))
{
echoN($conceptLabelAR);
exit;
}*/
if ($conceptFrequency < $minFreq) {
continue;
}
if ($wordConveretedToConceptID == $thing_class_name_ar) {
continue;
}
if (!isset($graphNodes[$wordConveretedToConceptID])) {
$randomXLocation = rand($startLocationXMin, $startLocationXMax);
$randomYLocation = rand($startLocationYMin, $startLocationYMax);
$graphNodes[$wordConveretedToConceptID] = createNewConceptObj($nodeSerialNumber, $lang, $finalNodeLabel, $mainConceptArr, $randomXLocation, $randomYLocation, 1);
}
}
}
}
$tooManyConcepts = count($graphNodes) > 200;
$ONTOLOGY_RELATIONS = getModelEntryFromMemory("ALL", "MODEL_QA_ONTOLOGY", "RELATIONS", "");
//preprint_r($graphNodes,1);exit;
$linksHashLookupTable = array();
//preprint_r($graphNodes,true);exit;
foreach ($graphNodes as $concept => $conceptArr) {
$conceptID = convertWordToConceptID($concept);
//$relationsOfConceptAsSource = $MODEL_QA_ONTOLOGY['GRAPH_INDEX_SOURCES'][$conceptID];
$relationsOfConceptAsSource = getModelEntryFromMemory("ALL", "MODEL_QA_ONTOLOGY", "GRAPH_INDEX_SOURCES", $conceptID);
//$relationsOfConceptAsTarget = $MODEL_QA_ONTOLOGY['GRAPH_INDEX_TARGETS'][$conceptID];
$relationsOfConceptAsTarget = getModelEntryFromMemory("ALL", "MODEL_QA_ONTOLOGY", "GRAPH_INDEX_TARGETS", $conceptID);
foreach ($relationsOfConceptAsSource as $index => $relArr) {
$verb = $relArr["link_verb"];
$object = $relArr["target"];
//echoN("$verb==$is_a_relation_name_ar && $object==$thing_class_name_ar");
// ignore is-a thing relations
if ($verb == $is_a_relation_name_ar && $object == $thing_class_name_ar) {
continue;
}
if ($tooManyConcepts && $verb == $is_a_relation_name_ar) {
continue;
}
// IF SHOWING MAIN CONCEPTS ONLY, IGNORE CONCEPTS NOT IN MAIN CONCEPTS LIST
if ($mainConceptsOnly && !isset($graphNodes[$object])) {
continue;
}
// NO extending by relations in case of search result text
// to reduce number of concepts we only add relations with other concepts
// found in the text
if ($inputType == "SEARCH_RESULTS_TEXT_ARRAY" && !isset($graphNodes[$object])) {
continue;
}
//preprint_r($relArr,true);
$randomXLocation = rand($startLocationXMin, $startLocationXMax);
$randomYLocation = rand($startLocationYMin, $startLocationYMax);
$relHashID = buildRelationHashID($conceptID, $verb, $object);
$fullRelationArr = $ONTOLOGY_RELATIONS[$relHashID];
//$conceptArr = $MODEL_QA_ONTOLOGY['CONCEPTS'][$object];
$conceptArr = getModelEntryFromMemory("ALL", "MODEL_QA_ONTOLOGY", "CONCEPTS", $object);
$finalNodeLabel = $conceptArr['label_ar'];
if ($lang == "EN") {
$finalNodeLabel = formatEnglishConcept($conceptArr['label_en']);
$verb = $fullRelationArr['VERB_TRANSLATION_EN'];
}
if (!isset($graphNodes[$object])) {
$graphNodes[$object] = createNewConceptObj($nodeSerialNumber, $lang, $finalNodeLabel, $conceptArr, $randomXLocation, $randomYLocation, 2);
}
$linkArr = array("source" => $graphNodes[$concept]["id"], "target" => $graphNodes[$object]["id"], "link_verb" => $verb, "link_frequency" => $fullRelationArr['FREQUENCY']);
//////// HANDLING MULTIPLE LINKS BETWEEN SAME NODES BEFORE ASSIGNING LINK
$arrHash = getArrayHashForFields($linkArr, array('source', 'target'));
/*preprint_r($graphNodes);
echoN($finalNodeLabel);
preprint_r($linkArr);*/
if (!isset($linksHashLookupTable[$arrHash])) {
$graphLinks[] = $linkArr;
$linksHashLookupTable[$arrHash] = count($graphLinks) - 1;
} else {
$linkIndex = $linksHashLookupTable[$arrHash];
if (strpos($graphLinks[$linkIndex]['link_verb'], "{$verb}") === false) {
$graphLinks[$linkIndex]['link_verb'] .= "," . $verb;
}
}
/*if ( $MODEL_QA_ONTOLOGY['CONCEPTS'][$object]['label_en']=="help")
{
echoN(isset($graphNodes[$object])." ".$object," ");
echoN($concept);
preprint_r($graphLinks[$linkIndex]);
preprint_r($graphNodes[$object]);
preprint_r($graphNodes[$concept]);
exit;
}*/
/////////////////////////////////////////////////////////////
}
foreach ($relationsOfConceptAsTarget as $index => $relArr) {
$verb = $relArr["link_verb"];
$subject = $relArr["source"];
$relationIndex = $relArr['relation_index'];
// IF SHOWING MAIN CONCEPTS ONLY, IGNORE CONCEPTS NOT IN MAIN CONCEPTS LIST
if ($mainConceptsOnly && !isset($graphNodes[$subject])) {
continue;
}
if ($tooManyConcepts && $verb == $is_a_relation_name_ar) {
continue;
}
// NO extending by relations in case of search result text
// to reduce number of concepts we only add relations with other concepts
// found in the text
if ($inputType == "SEARCH_RESULTS_TEXT_ARRAY" && !isset($graphNodes[$object])) {
continue;
}
$relHashID = buildRelationHashID($subject, $verb, $concept);
$fullRelationArr = $ONTOLOGY_RELATIONS[$relHashID];
$randomXLocation = rand($startLocationXMin, $startLocationXMax);
$randomYLocation = rand($startLocationYMin, $startLocationYMax);
//$conceptArr = $MODEL_QA_ONTOLOGY['CONCEPTS'][$subject];
$conceptArr = getModelEntryFromMemory("ALL", "MODEL_QA_ONTOLOGY", "CONCEPTS", $subject);
$finalNodeLabel = $conceptArr['label_ar'];
if ($lang == "EN") {
$finalNodeLabel = formatEnglishConcept($conceptArr['label_en']);
$verb = $fullRelationArr['VERB_TRANSLATION_EN'];
}
if (!isset($graphNodes[$subject])) {
$graphNodes[$subject] = createNewConceptObj($nodeSerialNumber, $lang, $finalNodeLabel, $conceptArr, $randomXLocation, $randomYLocation, 2);
}
$linkArr = array("source" => $graphNodes[$subject]["id"], "target" => $graphNodes[$concept]["id"], "link_verb" => $verb, "link_frequency" => $fullRelationArr['frequency']);
//////// HANDLING MULTIPLE LINKS BETWEEN SAME NODES BEFORE ASSIGNING LINK
$arrHash = getArrayHashForFields($linkArr, array('source', 'target'));
if (!isset($linksHashLookupTable[$arrHash])) {
$graphLinks[] = $linkArr;
$linksHashLookupTable[$arrHash] = count($graphLinks) - 1;
} else {
$linkIndex = $linksHashLookupTable[$arrHash];
if (strpos($graphLinks[$linkIndex]['link_verb'], "{$verb}") === false) {
$graphLinks[$linkIndex]['link_verb'] .= "," . $verb;
}
}
//////////////////////////////////////////////////////////////
}
}
//preprint_r($graphLinks);exit;
$graphNodesArr = array();
foreach ($graphNodes as $word => $nodeArr) {
$graphNodesArr[] = $nodeArr;
}
//preprint_r($graphNodesArr,1);exit;
//$graphNodesArr = array_slice($graphNodesArr, 1,10);
//$graphLinks = array_slice($graphLinks, 1,10);
$graphObj["nodes"] = $graphNodesArr;
$graphObj["links"] = $graphLinks;
return $graphObj;
}
