A probabilistic approach for learning folksonomies from structured data

Proceedings of the 4th ACM International Conference on Web Search and Data Mining, WSDM 2011

Volumn , Issue , 2011, Pages 555-564

  Plangprasopchok, Anon ^a,b,c   Lerman, Kristina ^a,b,c   Getoor, Lise ^a,b,c  

^a NATIONAL ELECTRONICS AND COMPUTER TECHNOLOGY CENTER   (Thailand)

^b UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

^c University of Maryland ^*  (United States)

Author keywords

Collective knowledge; Data mining; Folksonomies; Social information processing; Social metadata; Taxonomies

Indexed keywords

AFFINITY PROPAGATION; COLLECTIVE KNOWLEDGE; COMPLEX STRUCTURE; DATA SETS; DENSER STRUCTURE; EMPIRICAL RESULTS; FOLKSONOMIES; PROBABILISTIC APPROACHES; REAL-WORLD; RELATIONAL CLUSTERING; SOCIAL INFORMATION PROCESSING; SOCIAL MEDIA; SOCIAL METADATA; STATE-OF-THE-ART APPROACH; STRUCTURED DATA; WEB DATA MINING;

BIOINFORMATICS; CLUSTER ANALYSIS; DATA PROCESSING; INFORMATION RETRIEVAL; METADATA; TAXONOMIES; WEBSITES;

DATA MINING;

EID: 79952402899     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1935826.1935905     Document Type: Conference Paper

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