function getConceptTypeFromDescriptionText($abstract)
{
$matches = array();
$taggesSentenceArr = posTagText($abstract);
//printTag($taggesSentenceArr);
$counter = 0;
reset($taggesSentenceArr);
while (current($taggesSentenceArr)) {
$currentTagArr = current($taggesSentenceArr);
$nextTagArr = next($taggesSentenceArr);
if (($currentTagArr['tag'] == "VBZ" || $currentTagArr['tag'] == "VBD") && $nextTagArr['tag'] == "DT") {
$thirdTagArr = next($taggesSentenceArr);
if (($thirdTagArr['tag'] == "NN" || $thirdTagArr['tag'] == "VBG") && strtolower($thirdTagArr['token']) != "name") {
$forthTagArr = next($taggesSentenceArr);
if (!empty($forthTagArr) && $forthTagArr['tag'] == "IN") {
//echoN("########".$nextTagArr['token']);
return $thirdTagArr['token'];
}
}
}
if ($counter++ > 20) {
return false;
}
}
return false;
}
function posTagUserQuery($query, $lang)
{
$taggedSignificantWords = array();
if ($lang == "EN") {
$taggedWordsArr = posTagText($query);
foreach ($taggedWordsArr as $posArr) {
$word = trim($posArr['token']);
$tag = trim($posArr['tag']);
// no need for that, removed 'loves'(verb) which is not needed to search ontology verbs
//if ( strpos($tag,"NN")!==false || strpos($tag,"NP")!==false )
//{
$taggedSignificantWords[$word] = $tag;
//}
}
} else {
//$query = removeStopwordsAndTrim($query,$lang);
$tempArr = explode(" ", $query);
foreach ($tempArr as $index => $word) {
if (isset($MODEL_CORE['STOP_WORDS'][$word])) {
///STOPWORD
$taggedSignificantWords[$word] = "STW";
} else {
$taggedSignificantWords[$word] = "NN";
}
}
}
return $taggedSignificantWords;
}
