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Volumn 4825 LNCS, Issue , 2007, Pages 680-693

An unsupervised model for exploring hierarchical semantics from social annotations

Author keywords

[No Author keywords available]

Indexed keywords

INFORMATION THEORY; NATURAL RESOURCES EXPLORATION; SEMANTIC WEB;

EID: 49949119876     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-76298-0_49     Document Type: Conference Paper
Times cited : (51)

References (21)
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    • Aurnhammer, M., Hanappe, P., Steels, L.: Augmenting navigation for collaborative tagging with emergent semantics. In: Cruz, I., Decker, S., Allemang, D., Preist, C., Schwabe, D., Mika, P., Uschold, M., Aroyo, L. (eds.) ISWC 2006. LNCS, vol. 4273, Springer, Heidelberg (2006)
  • 3
    • 33845447532 scopus 로고    scopus 로고
    • Exploring social annotations for the semantic web
    • Wu, X., Zhang, L., Yu, Y.: Exploring social annotations for the semantic web. In: Proceedings of the WWW 2006, pp. 417-426 (2006)
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    • Wu, X.1    Zhang, L.2    Yu, Y.3
  • 4
    • 35348868025 scopus 로고    scopus 로고
    • Towards effective browsing of large scale social annotations
    • Li, R., Bao, S., Fei, B., Su, Z., Yu, Y.: Towards effective browsing of large scale social annotations. In: Proceedings of the WWW 2007, pp. 943-952 (2007)
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  • 5
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    • Folksonomies-cooperative classification and communication through shared metadata
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    • Mathes, A.: Folksonomies-cooperative classification and communication through shared metadata. Computer Mediated Communication, LIS590CMC (Doctoral Seminar), Graduate School of Library and Information Science, University of Illinois Urbana-Champaign (December 2004)
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    • Mathes, A.1
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    • Colder, S.1    Huberman, B.2
  • 9
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    • The complex dynamics of collaborative tagging
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  • 11
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  • 12
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    • Improved annotation of the blogosphere via autotagging and hierarchical clustering
    • Brooks, C., Montanez, N.: Improved annotation of the blogosphere via autotagging and hierarchical clustering. In: Proceedings of the WWW 2006, pp. 625-632 (2006)
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.