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Volumn , Issue , 2010, Pages

Research on ontology-based text representation of vector space model

Author keywords

Ontology; Term weight; Text mining; VSM

Indexed keywords

ONTOLOGY-BASED; SEMANTIC INFORMATION; SEMANTIC RELEVANCE; TERM SIMILARITY; TERM WEIGHT; TEXT MINING; TEXT REPRESENTATION; VECTOR SPACE MODELS; VSM;

EID: 78651332812     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/DBTA.2010.5658938     Document Type: Conference Paper
Times cited : (2)

References (9)
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    • Jing, L.1    Ng, M.K.2    Huang, J.Z.3
  • 4
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    • Hotho, A.1    Maedche, A.2    Staab, S.3
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    • Using corpus statisics and WordNet similarity for word sense indentification
    • C Leacock, GA Miller, and M Chodorow, "Using corpus statisics and WordNet similarity for word sense indentification," computational linguistics,1998.
    • (1998) Computational Linguistics
    • Leacock, C.1    Miller, G.A.2    Chodorow, M.3
  • 8
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    • Human-centered ontology engineering: The HCOME methodology
    • Kotis K, Vouros G, "Human-centered ontology engineering: the HCOME methodology,"Knowl InformSyst, vol10(1),pp.109-131,2006
    • (2006) Knowl InformSyst , vol.10 , Issue.1 , pp. 109-131
    • Kotis, K.1    Vouros, G.2
  • 9
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    • Using Wiki pedia knowledge to improve text classification
    • Wang P, Hu J, Zeng H, and Chen Z, "Using Wiki pedia knowledge to improve text classification,"Knowl InformSyst, vol19(3),pp.265-281,2009
    • (2009) Knowl InformSyst , vol.19 , Issue.3 , pp. 265-281
    • Wang, P.1    Hu, J.2    Zeng, H.3    Chen, Z.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.