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Volumn 2, Issue , 2008, Pages 394-403

Comparative studies of social classification systems using RSS feeds

Author keywords

Efficient personal and collaborative tagging; Processing and analysis of heterogeneous tag spaces; Social classification; Tag space integration; Tagging automation

Indexed keywords

ELECTRONIC COMMERCE; GOVERNMENT DATA PROCESSING; INFORMATION SYSTEMS; INTEGRATION; WORLD WIDE WEB;

EID: 58049181661     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (4)

References (23)
  • 4
    • 67249113994 scopus 로고    scopus 로고
    • No Blog is an Island - Analyzing Connections Across Information Networks
    • Boulder, Colorado, USA
    • Bhagat, S., Rozenbaum, I., Cormode, G., Muthukrishnan, S., and Xue, H. (2007). No Blog is an Island - Analyzing Connections Across Information Networks. In ICWSM'2007 Boulder, Colorado, USA.
    • (2007) ICWSM'2007
    • Bhagat, S.1    Rozenbaum, I.2    Cormode, G.3    Muthukrishnan, S.4    Xue, H.5
  • 10
    • 33644912045 scopus 로고    scopus 로고
    • The Structure of Collaborative Tagging Systems
    • Golder, S. and Huberman, B. A. (2005). The Structure of Collaborative Tagging Systems. Journal of Information Science, 32:198-208.
    • (2005) Journal of Information Science , vol.32 , pp. 198-208
    • Golder, S.1    Huberman, B.A.2
  • 11
    • 77956372268 scopus 로고    scopus 로고
    • TagOntology - A way to agree on the semantics of tagging data
    • Palo Alto, CA
    • Gruber, T. (2005). TagOntology - A way to agree on the semantics of tagging data. Presentation to Tag Camp, Palo Alto, CA,http://tomgruber.org/ writing/tagontology.htm.
    • (2005) Presentation to Tag Camp
    • Gruber, T.1
  • 14
    • 33746632103 scopus 로고    scopus 로고
    • Collaborative tagging as a tripartite network
    • Lambiotte, R. and Ausloos, M. (2006). Collaborative tagging as a tripartite network. Springer LNCS, 3993:1114-1117.
    • (2006) Springer LNCS , vol.3993 , pp. 1114-1117
    • Lambiotte, R.1    Ausloos, M.2
  • 15
    • 35348868025 scopus 로고    scopus 로고
    • Towards Effective Browsing of Large Scale Social Annotations
    • Track: Web Engineering, Session: End-User Perspectives and measurement in Web Engineering
    • Li, R., Bao, S., Fei, B., Su, Z., and Yu, Y. (2007). Towards Effective Browsing of Large Scale Social Annotations. In WWW '07: Proceedings of the 16th international conference on World Wide Web. Track: Web Engineering, Session: End-User Perspectives and measurement in Web Engineering.
    • (2007) WWW '07: Proceedings of the 16th international conference on World Wide Web
    • Li, R.1    Bao, S.2    Fei, B.3    Su, Z.4    Yu, Y.5
  • 16
    • 33751332394 scopus 로고    scopus 로고
    • Cooperative Classification and Communication Through Shared Metadata
    • Mathes, A. (2004). Folksonomies - Cooperative Classification and Communication Through Shared Metadata. http://www.adammathes.com/academic/ computer-mediatedcommunication/folksonomies.html
    • (2004) Folksonomies
    • Mathes, A.1
  • 20
    • 33847630510 scopus 로고    scopus 로고
    • is Overrated: Categories, Links, and Tags
    • Shirky, C. (2005). Ontology is Overrated: Categories, Links, and Tags. http://www.shirky.com/writings/ontology-overrated.html
    • (2005) Ontology
    • Shirky, C.1
  • 21
    • 33845232050 scopus 로고    scopus 로고
    • Concept Modeling by the Masses: Folksonomy Structure and Interoperability
    • Veres, C. (2006). Concept Modeling by the Masses: Folksonomy Structure and Interoperability. Conceptual Modeling - ER 2006, pages 325-338.
    • (2006) Conceptual Modeling - ER 2006 , pp. 325-338
    • Veres, C.1
  • 22
    • 36348948889 scopus 로고    scopus 로고
    • Emergent Semantics from Folksonomies: A Quantitative Study
    • Zhang, L., Wu, X., and Yu, Y. (2006). Emergent Semantics from Folksonomies: A Quantitative Study. Journal on Data Semantics VI, Springer LNCS, 4090:168-186.
    • (2006) Journal on Data Semantics VI, Springer LNCS , vol.4090 , pp. 168-186
    • Zhang, L.1    Wu, X.2    Yu, Y.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.