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Volumn , Issue , 2010, Pages 949-958

Growing a tree in the forest: Constructing folksonomies by integrating structured metadata

Author keywords

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

Indexed keywords

COLLECTIVE KNOWLEDGE; FOLKSONOMIES; RELATIONAL CLUSTERING; SOCIAL INFORMATION PROCESSING; SOCIAL METADATA;

EID: 77956201770     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1835804.1835924     Document Type: Conference Paper
Times cited : (32)

References (19)
  • 5
    • 33644912045 scopus 로고    scopus 로고
    • Usage patterns of collaborative tagging systems
    • April
    • S. A. Golder and B. A. Huberman. Usage patterns of collaborative tagging systems. J. Inf. Sci., 32(2):198-208, April 2006.
    • (2006) J. Inf. Sci. , vol.32 , Issue.2 , pp. 198-208
    • Golder, S.A.1    Huberman, B.A.2
  • 7
    • 33845399232 scopus 로고    scopus 로고
    • Collaborative creation of communal hierarchical taxonomies in social tagging systems
    • Stanford, CA, USA, April
    • P. Heymann and H. Garcia-Molina. Collaborative creation of communal hierarchical taxonomies in social tagging systems. Technical Report 2006-10, Stanford University, Stanford, CA, USA, April 2006.
    • (2006) Technical Report 2006-10, Stanford University
    • Heymann, P.1    Garcia-Molina, H.2
  • 10
    • 33847199383 scopus 로고    scopus 로고
    • Ontologies are us: A unified model of social networks and semantics
    • P. Mika. Ontologies are us: A unified model of social networks and semantics. J. Web Sem., 5(1):5-15, 2007.
    • (2007) J. Web Sem. , vol.5 , Issue.1 , pp. 5-15
    • Mika, P.1
  • 17
    • 35449000165 scopus 로고    scopus 로고
    • Leveraging data and structure in ontology integration
    • O. Udrea, L. Getoor, and R. J. Miller. Leveraging data and structure in ontology integration. In SIGMOD Conference, 2007.
    • (2007) SIGMOD Conference
    • Udrea, O.1    Getoor, L.2    Miller, R.J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.