Learning context-sensitive domain ontologies from folksonomies: A cognitively motivated method

INFORMS Journal on Computing

Volumn 27, Issue 3, 2015, Pages 561-578

  Lau, Raymond Y K ^a   Leon Zhao, J ^a   Zhang, Wenping ^a   Cai, Yi ^b   Ngai, Eric W T ^c  

^a CITY UNIVERSITY OF HONG KONG   (Hong Kong)

^b SOUTH CHINA UNIVERSITY OF TECHNOLOGY   (China)

^c HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

Author keywords

Artificial intelligence; Folksonomies; Knowledge management; Machine learning; Ontology learning

Indexed keywords

ARTIFICIAL INTELLIGENCE; DATA HANDLING; KNOWLEDGE BASED SYSTEMS; KNOWLEDGE MANAGEMENT; LEARNING SYSTEMS; LINKED DATA; ONTOLOGY; SEMANTICS;

CONTEXT-FREE MAPPING; FOLKSONOMIES; HUMAN INTERVENTION; ONTOLOGY LEARNING; OPEN DIRECTORY PROJECTS; PROBABILISTIC TOPIC MODELS; SEMANTIC ANALYSIS; SOCIAL ANNOTATIONS;

LEARNING ALGORITHMS;

EID: 84947273995     PISSN: 10919856     EISSN: 15265528     Source Type: Journal    
DOI: 10.1287/ijoc.2015.0644     Document Type: Article

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