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Volumn , Issue , 2013, Pages 78-85

Interpretation of Crowdsourced Activities Using Provenance Network Analysis

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; QUALITY CONTROL;

EID: 85040661977     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (17)

References (14)
  • 2
    • 85167422030 scopus 로고    scopus 로고
    • Inside the race to crack the world’s hardest puzzle
    • Aron, J. 2011. Inside the race to crack the world’s hardest puzzle. The New Scientist 212(2841):26–27.
    • (2011) The New Scientist , vol.212 , Issue.2841 , pp. 26-27
    • Aron, J.1
  • 8
    • 84868589113 scopus 로고    scopus 로고
    • Technical report, World Wide Web Consortium. W3C Recommendation
    • Moreau, L., and Missier, P. 2013. PROV-DM: The PROV Data Model. Technical report, World Wide Web Consortium. W3C Recommendation.
    • (2013) PROV-DM: The PROV Data Model
    • Moreau, L.1    Missier, P.2
  • 9
    • 78650064937 scopus 로고    scopus 로고
    • The foundations for provenance on the web
    • Moreau, L. 2010. The foundations for provenance on the web. Foundations and Trends in Web Science 2(2–3):99–241.
    • (2010) Foundations and Trends in Web Science , vol.2 , Issue.2–3 , pp. 99-241
    • Moreau, L.1
  • 10
    • 1142309151 scopus 로고    scopus 로고
    • Hyperlink network analysis: A new method for the study of social structure on the web
    • Park, H. 2003. Hyperlink network analysis: A new method for the study of social structure on the web. Connections 25(1):49–61.
    • (2003) Connections , vol.25 , Issue.1 , pp. 49-61
    • Park, H.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.