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Crowdsourcing systems on the World-Wide Web

Published:01 April 2011Publication History
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Abstract

The practice of crowdsourcing is transforming the Web and giving rise to a new field.

References

  1. AAAI-08 Workshop. Wikipedia and artificial intelligence: An evolving synergy, 2008.Google ScholarGoogle Scholar
  2. Adamic, L.A., Zhang, J., Bakshy, E. and Ackerman, M.S. Knowledge sharing and Yahoo answers: Everyone knows something. In Proceedings of WWW, 2008. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Chai, X., Vuong, B., Doan, A. and Naughton, J.F. Efficiently incorporating user feedback into information extraction and integration programs. In Proceedings of SIGMOD, 2009. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. The Cimple/DBLife project; http://pages.cs.wisc.edu/~anhai/projects/cimple.Google ScholarGoogle Scholar
  5. DeRose, P., Chai, X., Gao, B.J., Shen, W., Doan, A., Bohannon, P. and Zhu, X. Building community wikipedias: A machine-human partnership approach. In Proceedings of ICDE, 2008. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Fuxman, A., Tsaparas, P., Achan, K. and Agrawal, R. Using the wisdom of the crowds for keyword generation. In Proceedings of WWW, 2008. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Golbeck, J. Computing and applying trust in Web-based social network, 2005. Ph.D. dissertation, University of Maryland. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Ives, Z.G., Khandelwal, N., Kapur, A., and Cakir, M. Orchestra: Rapid, collaborative sharing of dynamic data. In Proceedings of CIDR, 2005.Google ScholarGoogle Scholar
  9. Kasneci, G., Ramanath, M., Suchanek, M. and Weiku, G. The yago-naga approach to knowledge discovery. SIGMOD Record 37, 4, (2008), 41--47. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. Koutrika, G., Bercovitz, B., Kaliszan, F., Liou, H. and Garcia-Molina, H. Courserank: A closed-community social system through the magnifying glass. In The 3rd Int'l AAAI Conference on Weblogs and Social Media (ICWSM), 2009.Google ScholarGoogle Scholar
  11. Little, G., Chilton, L.B., Miller, R.C. and Goldman, M. Turkit: Tools for iterative tasks on mechanical turk, 2009. Technical Report. Available from glittle.org.Google ScholarGoogle Scholar
  12. McCann, R., Doan, A., Varadarajan, V., and Kramnik, A. Building data integration systems: A mass collaboration approach. In WebDB, 2003.Google ScholarGoogle Scholar
  13. McCann, R., Shen, W. and doan, A. Matching schemas in online communities: A Web 2.0 approach. In Proceedings of ICDE, 2008. Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. McDowell, L., Etzioni, O., Gribble, S.D., Halevy, A.Y., Levy, H.M., Pentney, W., Verma, D. and Vlasseva, S. Mangrove: enticing ordinary people onto the semantic web via instant gratification. In Proceedings of ISWC, 2003.Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. Mihalcea, R. and Chklovski, T. Building sense tagged corpora with volunteer contributions over the Web. In Proceedings of RANLP, 2003.Google ScholarGoogle Scholar
  16. Noy, N.F., Chugh, A. and Alani, H. The CKC challenge: exploring tools for collaborative knowledge construction. IEEE Intelligent Systems 23, 1, (2008) 64--68. Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. Noy, N.F., Griffith, N. and Munsen, M.A. Collecting community-based mappings in an ontology repository. In Proceedings of ISWC, 2008. Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. Olson, M. The amateur search. SIGMOD Record 37, 2 (2008), 21--24. Google ScholarGoogle ScholarDigital LibraryDigital Library
  19. Perkowitz, M. and Etzioni, O. Adaptive web sites. Comm. ACM 43, 8 (Aug. 2000). Google ScholarGoogle ScholarDigital LibraryDigital Library
  20. Rahm, E. and Bernstein, P.A. A survey of approaches to automatic schema matching. VLDB J. 10, 4, (2001), 334--350. Google ScholarGoogle ScholarDigital LibraryDigital Library
  21. Ramakrishnan, R. Collaboration and data mining, 2001. Keynote talk, KDD. Google ScholarGoogle ScholarDigital LibraryDigital Library
  22. Ramakrishnan, R., Baptist, A., Ercegovac, A., Hanselman, M., Kabra, N., Marathe, A. and Shaft, U. Mass collaboration: A case study. In Proceedings of IDEAS, 2004. Google ScholarGoogle ScholarDigital LibraryDigital Library
  23. Rheingold, H. Smart Mobs. Perseus Publishing, 2003.Google ScholarGoogle ScholarCross RefCross Ref
  24. Richardson, M. and Domingos, P. Mining knowledge-sharing sites for viral marketing. In Proceedings of KDD, 2002. Google ScholarGoogle ScholarDigital LibraryDigital Library
  25. Richardson, M. and Domingos, P. Building large knowledge bases by mass collaboration. In Proceedings of K-CAP, 2003. Google ScholarGoogle ScholarDigital LibraryDigital Library
  26. Sarwar, B.M., Karypis, G., Konstan, J.A. and Riedl, J. Item-based collaborative filtering recommendation algorithms. In Proceedings of WWW, 2001. Google ScholarGoogle ScholarDigital LibraryDigital Library
  27. Steinmetz, R. and Wehrle, K. eds. Peer-to-peer systems and applications. Lecture Notes in Computer Science. 3485; Springer, 2005. Google ScholarGoogle ScholarDigital LibraryDigital Library
  28. Stork, D.G. Using open data collection for intelligent software. IEEE Computer 33, 10, (2000), 104--106. Google ScholarGoogle ScholarDigital LibraryDigital Library
  29. Surowiecki, J. The Wisdom of Crowds. Anchor Books, 2005. Google ScholarGoogle ScholarDigital LibraryDigital Library
  30. Tapscott, D. and Williams, A.D. Wikinomics. Portfolio, 2006.Google ScholarGoogle Scholar
  31. Time. Special Issue Person of the year: You, 2006; http://www.time.com/time/magazine/article/0,9171,1569514,00.html.Google ScholarGoogle Scholar
  32. von Ahn, L. and Dabbish, L. Labeling images with a computer game. In Proc. of CHI, 2004. Google ScholarGoogle ScholarDigital LibraryDigital Library
  33. von Ahn, L. and Dabbish, L. Designing games with a purpose. Comm. ACM 51, 8 (Aug. 2008), 58--67. Google ScholarGoogle ScholarDigital LibraryDigital Library
  34. von Ahn, L., Maurer, B., McMillen, C., Abraham, D. and Blum, M. Recaptcha: Human-based character recognition via Web security measures. Science 321, 5895, (2008), 1465--1468.Google ScholarGoogle ScholarCross RefCross Ref
  35. Weld, D.S., Wu, F., Adar, E., Amershi, S., Fogarty, J., Hoffmann, R., Patel, K. and Skinner, M. Intelligence in Wikipedia. AAAI, 2008. Google ScholarGoogle ScholarDigital LibraryDigital Library
  36. Workshop on collaborative construction, management and linking of structured knowledge (CK 2009), 2009. http://users.ecs.soton.ac.uk/gc3/iswc-workshop.Google ScholarGoogle Scholar
  37. Franklin, M, Kossman, D., Kraska, T, Ramesh, S, and Xin, R. CrowdDB: Answering queries with crowdsourcing. In Proceedings of SIGMOD 2011. Google ScholarGoogle ScholarDigital LibraryDigital Library
  38. Marcus, A., Wu, E. and Madden, S. Crowdsourcing databases: Query processing with people. In Proceedings of CRDR 2011.Google ScholarGoogle Scholar
  39. Parameswaran, A., Sarma, A., Garcia-Molina, H., Polyzotis, N. and Widom, J. Human-assisted graph search: It's okay to ask questions. In Proceedings of VLDB 2011. Google ScholarGoogle ScholarDigital LibraryDigital Library
  40. Parameswaran, A. and Polyzotis, N. Answering queries using humans, algorithms, and databases. In Proceedings of CIDR 2011.Google ScholarGoogle Scholar

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        cover image Communications of the ACM
        Communications of the ACM  Volume 54, Issue 4
        April 2011
        139 pages
        ISSN:0001-0782
        EISSN:1557-7317
        DOI:10.1145/1924421
        Issue’s Table of Contents

        Copyright © 2011 ACM

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        • Published: 1 April 2011

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