?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=SEMANTIC+CLUSTERING+WITH+CONTEXT+ONTOLOGY+FOR+INFORMATION+RETRIEVAL+SYSTEM%0D%0A&rft.creator=lai%2C+Dr+thinn+&rft.subject=Artificial+Intelligence&rft.description=Nowadays%2C+there+are+so+many+increasing+amount+of+information+within+world-wide+web.+For+these+increasing+amounts+of+information%2C+we+need+efficient+and+effective+index+structure+when+we+have+to+find+needed+information.+Most+indexing+techniques+directly+matched+terms+from+the+document+and+terms+from+query.+But+there+is+a+problem+when+matching.+That+is+most+system+doesn%E2%80%99t+consider+the+meaning+of+the+words.+A+word+can+have+more+than+one+meaning.+But+most+systems+didn%E2%80%99t+consider+the+context+(multiple+meaning+of+a+word).+This+paper+presents+how+to+construct+an+index+structure+using+SSTC+and+context+ontology+that+provides+multiple+meanings+of+a+word.+Context+provides+extra+information+to+improve+search+result+relevance.+This+paper+produces+context+semantic+cluster+to+provide+indexing+of+search+engine.%0D%0A&rft.publisher=Global+Society+of+Scientific+Research+and+Researchers+(GSSRR)&rft.date=2013&rft.type=Journal+(Paginated)&rft.type=PeerReviewed&rft.format=application%2Fpdf&rft.identifier=http%3A%2F%2Fcogprints.org%2F9101%2F1%2F1109-1923-1-PB.pdf&rft.identifier=++lai%2C+Dr+thinn+++(2013)+SEMANTIC+CLUSTERING+WITH+CONTEXT+ONTOLOGY+FOR+INFORMATION+RETRIEVAL+SYSTEM.++%5BJournal+(Paginated)%5D+++++&rft.relation=http%3A%2F%2Fcogprints.org%2F9101%2F