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Long Beach, CA, USA
Mar. 1, 2010 to Mar. 6, 2010
ISBN: 978-1-4244-5445-7
pp: 784-795
Qun Ni , Department of Computer Science and CERIAS, Purdue University, West Lafayette, IN 47907, USA
Elisa Bertino , Department of Computer Science and CERIAS, Purdue University, West Lafayette, IN 47907, USA
ABSTRACT
In curated databases, annotations may contain opinions different from those in sources. Moreover, annotations may contradict each other and have uncertainty. Such situations result in a natural question: “Which opinion is most likely to be correct?” In this paper, we define a credibility-enhanced curated database and propose an efficient method to accurately evaluate the correctness of sources and annotations in curated databases.
CITATION
Qun Ni, Elisa Bertino, "Credibility-enhanced curated database: Improving the value of curated databases", ICDE, 2010, 2013 IEEE 29th International Conference on Data Engineering (ICDE), 2013 IEEE 29th International Conference on Data Engineering (ICDE) 2010, pp. 784-795, doi:10.1109/ICDE.2010.5447857
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