Information Extraction Meets Crowdsourcing: A Promising Couple-Reference-Cited by-同舟云学术

Information Extraction Meets Crowdsourcing: A Promising Couple

Published:2012-05-23 Issue:2 Volume:12 Page:109-120
ISSN:1618-2162
Container-title:Datenbank-Spektrum
language:en
Short-container-title:Datenbank Spektrum

Author:

Lofi Christoph,Selke Joachim,Balke Wolf-Tilo

Publisher

Springer Science and Business Media LLC

Subject

General Earth and Planetary Sciences,General Environmental Science

Link

http://link.springer.com/content/pdf/10.1007/s13222-012-0092-8.pdf

Reference33 articles.

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2. Chang C-H, Kayed M, Girgis MR, Shaalan KF (2006) A survey of web information extraction systems. IEEE Trans Knowl Data Eng 18:1411–1428

3. Amer-Yahia S, Doan A, Kleinberg JM, Koudas N, Franklin MJ, (2010) Crowds, clouds, and algorithms: exploring the human side of “big data” applications. In: Proceedings of the ACM SIGMOD international conference on management of data (SIGMOD), pp 1259–1260

4. Surowiecki J (2004) The wisdom of crowds. Doubleday, Anchor

5. Doan A, Ramakrishnan R, Halevy AY (2011) Crowdsourcing systems on the world-wide web. Commun ACM 54:86–96

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