Fuzzy ontology mining and semantic information granulation for effective information retrieval decision making

International Journal of Computational Intelligence Systems

Volumn 4, Issue 1, 2011, Pages 54-65

  Lau, Raymond Y K ^a   Lai, Chapmann C L ^a   Li, Yuefeng ^b  

^a CITY UNIVERSITY OF HONG KONG   (Hong Kong)

^b QUEENSLAND UNIVERSITY OF TECHNOLOGY   (Australia)

Author keywords

Fuzzy Ontology; Fuzzy Subsumption; Granular Computing; Information Granulation; Information Retrieval; Text Mining

Indexed keywords

COMPUTATION THEORY; COMPUTATIONAL METHODS; DECISION MAKING; GRANULAR COMPUTING; GRANULATION; INFORMATION RETRIEVAL; NATURAL LANGUAGE PROCESSING SYSTEMS; ONTOLOGY; SEARCH ENGINES; SEMANTICS; VECTOR SPACES;

DESIGN AND DEVELOPMENT; DOMAIN-SPECIFIC ONTOLOGIES; DOMAIN-SPECIFIC TERMINOLOGY; FUZZY ONTOLOGY; FUZZY SUBSUMPTION; INFORMATION GRANULATION; SEMANTIC INFORMATION; TEXT MINING;

DATA MINING;

EID: 78851470287     PISSN: 18756891     EISSN: 18756883     Source Type: Journal    
DOI: 10.1080/18756891.2011.9727763     Document Type: Article

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